Summary
* 📢 KerasNLP and KerasCV are now becoming KerasHub 📢. KerasCV and KerasNLP have been consolidated into KerasHub package
* Models available now in KerasHub are albert, bart, bert, bloom, clip, csp_darknet, deberta_v3, deeplab_v3, densenet, distil_bert, efficientnet, electra, f_net, falcon, gemma, gpt2, gpt_neo_x, llama, llama3, mistral, mit, mobilenet, opt, pali_gemma, phi3, resnet, retinanet, roberta, sam, stable_diffusion_3, t5, vae, vgg, vit_det, whisper, xlm_roberta and xlnet.
* A new preprocessor flow has been added for vision and audio models
What's Changed
* Update python version in readme to 3.8 by haifeng-jin in https://github.com/keras-team/keras-hub/pull/618
* Modify our pip install line so we upgrade tf by mattdangerw in https://github.com/keras-team/keras-hub/pull/616
* Use Adam optimizer for quick start by mattdangerw in https://github.com/keras-team/keras-hub/pull/620
* Clean up class name and `self` in calls to `super()` by mbrukman in https://github.com/keras-team/keras-hub/pull/628
* Update word_piece_tokenizer.py by ADITYADAS1999 in https://github.com/keras-team/keras-hub/pull/617
* Add DeBERTaV3 Conversion Script by abheesht17 in https://github.com/keras-team/keras-hub/pull/633
* Add AlbertTokenizer and AlbertPreprocessor by abheesht17 in https://github.com/keras-team/keras-hub/pull/627
* Create `Backbone` base class by jbischof in https://github.com/keras-team/keras-hub/pull/621
* Add TPU testing by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/591
* Add Base Preprocessor Class by abheesht17 in https://github.com/keras-team/keras-hub/pull/638
* Add keras_nlp.samplers by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/563
* Add ALBERT Backbone by abheesht17 in https://github.com/keras-team/keras-hub/pull/622
* Add a small script to count parameters in our presets by mattdangerw in https://github.com/keras-team/keras-hub/pull/610
* Clean up examples/ directory by ADITYADAS1999 in https://github.com/keras-team/keras-hub/pull/637
* Fix Small BERT Typo by abheesht17 in https://github.com/keras-team/keras-hub/pull/651
* Rename examples/bert -> examples/bert_pretraining by mattdangerw in https://github.com/keras-team/keras-hub/pull/647
* Add FNet Preprocessor by abheesht17 in https://github.com/keras-team/keras-hub/pull/646
* Add FNet Backbone by abheesht17 in https://github.com/keras-team/keras-hub/pull/643
* Small DeBERTa Docstring Fixes by abheesht17 in https://github.com/keras-team/keras-hub/pull/666
* Add Fenced Docstring Testing by abheesht17 in https://github.com/keras-team/keras-hub/pull/640
* Corrected the epsilon value by soma2000-lang in https://github.com/keras-team/keras-hub/pull/665
* Consolidate docstring formatting weirdness in Backbone and Preprocessor base classes by mattdangerw in https://github.com/keras-team/keras-hub/pull/654
* Fix `value_dim` in `TransformerDecoder`'s cross-attn layer by abheesht17 in https://github.com/keras-team/keras-hub/pull/667
* Add ALBERT Presets by abheesht17 in https://github.com/keras-team/keras-hub/pull/655
* Add Base Task Class by abheesht17 in https://github.com/keras-team/keras-hub/pull/671
* Implement TopP, TopK and Beam samplers by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/652
* Add FNet Presets by abheesht17 in https://github.com/keras-team/keras-hub/pull/659
* Bump the year to 2023 by mattdangerw in https://github.com/keras-team/keras-hub/pull/679
* Add BART Backbone by abheesht17 in https://github.com/keras-team/keras-hub/pull/661
* Handle trainable and name in the backbone base class by mattdangerw in https://github.com/keras-team/keras-hub/pull/680
* Ignore Task Docstring for Testing by abheesht17 in https://github.com/keras-team/keras-hub/pull/683
* Light-weight benchmarking script by NusretOzates in https://github.com/keras-team/keras-hub/pull/664
* Conditionally import tf_text everywhere by mattdangerw in https://github.com/keras-team/keras-hub/pull/684
* Expose `token_embedding` as a Backbone Property by abheesht17 in https://github.com/keras-team/keras-hub/pull/676
* Move `from_preset` to base tokenizer classes by shivance in https://github.com/keras-team/keras-hub/pull/673
* add f_net_classifier and f_net_classifier_test by ADITYADAS1999 in https://github.com/keras-team/keras-hub/pull/670
* import rouge_scorer directly from rouge_score package by sampathweb in https://github.com/keras-team/keras-hub/pull/691
* Fix typo in requirements file juypter -> jupyter by mattdangerw in https://github.com/keras-team/keras-hub/pull/693
* Temporary fix to get nightly green again by mattdangerw in https://github.com/keras-team/keras-hub/pull/696
* GPT2 Text Generation APIs by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/592
* Run keras saving tests on nightly and fix RobertaClassifier test by mattdangerw in https://github.com/keras-team/keras-hub/pull/692
* Speed up pip install keras-nlp; simplify deps by mattdangerw in https://github.com/keras-team/keras-hub/pull/697
* Add `AlbertClassifier` by shivance in https://github.com/keras-team/keras-hub/pull/668
* Make tokenizer, backbone, preprocessor properties settable on base class by mattdangerw in https://github.com/keras-team/keras-hub/pull/700
* Update to latest black by mattdangerw in https://github.com/keras-team/keras-hub/pull/708
* RobertaMaskedLM task and preprocessor by mattdangerw in https://github.com/keras-team/keras-hub/pull/653
* Default compilation for BERT/RoBERTa classifiers by jbischof in https://github.com/keras-team/keras-hub/pull/695
* Add start/end token padding to `GPT2Preprocessor` by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/704
* Don't install tf stable when building our nightly image by mattdangerw in https://github.com/keras-team/keras-hub/pull/711
* Add OPT Backbone and Tokenizer by mattdangerw in https://github.com/keras-team/keras-hub/pull/699
* Small OPT Doc-string Edits by abheesht17 in https://github.com/keras-team/keras-hub/pull/716
* Default compilation other classifiers by Plutone11011 in https://github.com/keras-team/keras-hub/pull/714
* Add BartTokenizer and BART Presets by abheesht17 in https://github.com/keras-team/keras-hub/pull/685
* Add an add_prefix_space Arg in BytePairTokenizer by shivance in https://github.com/keras-team/keras-hub/pull/715
* Opt presets by mattdangerw in https://github.com/keras-team/keras-hub/pull/707
* fix import of tensorflow_text in tf_utils by sampathweb in https://github.com/keras-team/keras-hub/pull/723
* Check for masked token in roberta tokenizer by mattdangerw in https://github.com/keras-team/keras-hub/pull/742
* Improve test coverage for special tokens in model tokenizers by mattdangerw in https://github.com/keras-team/keras-hub/pull/743
* Fix the sampler truncation strategy by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/713
* Add ALBERT Conversion Script by abheesht17 in https://github.com/keras-team/keras-hub/pull/736
* Add FNet Conversion Script by abheesht17 in https://github.com/keras-team/keras-hub/pull/737
* Add BART Conversion Script by abheesht17 in https://github.com/keras-team/keras-hub/pull/739
* Pass Correct LayerNorm Epsilon value to TransformerEncoder in Backbones by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/731
* Improving the layer Description. by Neeshamraghav012 in https://github.com/keras-team/keras-hub/pull/734
* Adding ragged support to SinePositionEncoding by apupneja in https://github.com/keras-team/keras-hub/pull/751
* Fix trailing space by mattdangerw in https://github.com/keras-team/keras-hub/pull/755
* Adding an AlbertMaskedLM task + Fix Projection layer dimension in MaskedLMHead by shivance in https://github.com/keras-team/keras-hub/pull/725
* New docstring example for TokenAndPosition Embedding layer. by Neeshamraghav012 in https://github.com/keras-team/keras-hub/pull/760
* Add a note for TPU issues for deberta_v3 by mattdangerw in https://github.com/keras-team/keras-hub/pull/758
* Add missing exports to models API by mattdangerw in https://github.com/keras-team/keras-hub/pull/763
* Autogenerate preset table by Cyber-Machine in https://github.com/keras-team/keras-hub/pull/690
* Version bump to 0.5.0 by mattdangerw in https://github.com/keras-team/keras-hub/pull/767
* Adding a FNetMaskedLM task model and preprocessor by apupneja in https://github.com/keras-team/keras-hub/pull/740
* Add a DistilBertMaskedLM task model by ADITYADAS1999 in https://github.com/keras-team/keras-hub/pull/724
* Add cache support to decoding journey by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/745
* Handle [MASK] token in DebertaV3Tokenizer by abheesht17 in https://github.com/keras-team/keras-hub/pull/759
* Update README for 2.4.1 release by mattdangerw in https://github.com/keras-team/keras-hub/pull/757
* Fix typo in test docstring by jbischof in https://github.com/keras-team/keras-hub/pull/791
* Fixed Incorrect Links for FNet and DeBERTaV3 models by Cyber-Machine in https://github.com/keras-team/keras-hub/pull/793
* Patch 1 - doc-string spell fix by atharvapurdue in https://github.com/keras-team/keras-hub/pull/781
* Don't rely on core keras initializer config details by mattdangerw in https://github.com/keras-team/keras-hub/pull/802
* Simplify the cache decoding graph by mattdangerw in https://github.com/keras-team/keras-hub/pull/780
* Fix Fenced Doc-String 782 by atharvapurdue in https://github.com/keras-team/keras-hub/pull/785
* Solve 721 Deberta masklm model by Plutone11011 in https://github.com/keras-team/keras-hub/pull/732
* Add from_config to sampler by mattdangerw in https://github.com/keras-team/keras-hub/pull/803
* BertMaskedLM Task Model and Preprocessor by Cyber-Machine in https://github.com/keras-team/keras-hub/pull/774
* Stop generation once end_token_id is seen by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/769
* Added model card links for all pretrained models. by Cyber-Machine in https://github.com/keras-team/keras-hub/pull/795
* Initial PR demonstrating public API export logic. by fchollet in https://github.com/keras-team/keras-hub/pull/747
* Add preset for finetuning GPT2 on CNN news by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/807
* Add API exports for metrics documented on keras.io by shivance in https://github.com/keras-team/keras-hub/pull/816
* Add API exports for samplers documented on keras.io by shivance in https://github.com/keras-team/keras-hub/pull/815
* Add API exports for models documented on keras.io by shivance in https://github.com/keras-team/keras-hub/pull/814
* Add API exports for tokenizers documented on keras.io by shivance in https://github.com/keras-team/keras-hub/pull/817
* Add API exports for layers documented on keras.io by fchollet in https://github.com/keras-team/keras-hub/pull/811
* Add keras_nlp.utils public API exports. by fchollet in https://github.com/keras-team/keras-hub/pull/819
* retrained bert_tiny_uncased_en_sst2_training.ipynb by susnato in https://github.com/keras-team/keras-hub/pull/771
* Temporary solution to avoid recompilation by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/808
* Call super.config() in BartBackbone's get_config() by shivance in https://github.com/keras-team/keras-hub/pull/818
* Update typo in README.md by ADITYADAS1999 in https://github.com/keras-team/keras-hub/pull/821
* Add Whisper Backbone by abheesht17 in https://github.com/keras-team/keras-hub/pull/801
* Added note for tensorflow-text in the CONTRIBUTING guide by jaygala223 in https://github.com/keras-team/keras-hub/pull/805
* Roadmap update by jaygala223 in https://github.com/keras-team/keras-hub/pull/800
* Remove API export decorator from base classes by shivance in https://github.com/keras-team/keras-hub/pull/824
* Move integration tests out of repo sources. by fchollet in https://github.com/keras-team/keras-hub/pull/826
* Function merge_padding_and_attention_mask does not return an output with the desired shape when both padding and attention masks are given by abodinier in https://github.com/keras-team/keras-hub/pull/790
* Adding XXBackboneTPUTests by shivance in https://github.com/keras-team/keras-hub/pull/839
* Add a t5 tokenizer by mattdangerw in https://github.com/keras-team/keras-hub/pull/852
* Add compilation defaults for the BertMaskedLM task model by ADITYADAS1999 in https://github.com/keras-team/keras-hub/pull/836
* added __init__ file for t5 by Akorex in https://github.com/keras-team/keras-hub/pull/853
* Modified Docstring for GPT2CasualLM by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/855
* Rework bert docstrings for progressive disclosure of complexity by mattdangerw in https://github.com/keras-team/keras-hub/pull/843
* Fix "causal" spelling in export decorator by abheesht17 in https://github.com/keras-team/keras-hub/pull/861
* Default compilation for Albert, Distilbert, Roberta MaskedLM by shivance in https://github.com/keras-team/keras-hub/pull/833
* Speed up default BERT testing roughly 3x by mattdangerw in https://github.com/keras-team/keras-hub/pull/859
* Add compilation defaults for the Fnet MaskedLM task model by soma2000-lang in https://github.com/keras-team/keras-hub/pull/834
* Default compilation for Debertav3MaskedLM model by Cyber-Machine in https://github.com/keras-team/keras-hub/pull/835
* Remove from_preset from fnet tokenizer by mattdangerw in https://github.com/keras-team/keras-hub/pull/865
* Add T5 backbone by fchollet in https://github.com/keras-team/keras-hub/pull/828
* Speeding the tests for opt by susnato in https://github.com/keras-team/keras-hub/pull/886
* Move generate compilation to the task model by mattdangerw in https://github.com/keras-team/keras-hub/pull/804
* Speeding the tests for xlm_roberta by susnato in https://github.com/keras-team/keras-hub/pull/885
* Rework DistilBERT docstrings for progressive disclosure of complexity. by Cyber-Machine in https://github.com/keras-team/keras-hub/pull/881
* Speeding the tests for T5 by susnato in https://github.com/keras-team/keras-hub/pull/888
* Rework OPT docstrings for progressive disclosure of complexity. by Warlord-K in https://github.com/keras-team/keras-hub/pull/893
* Get our fenced docstring tests working again by mattdangerw in https://github.com/keras-team/keras-hub/pull/895
* Speed up default RoBERTa testing roughly 3x by shivance in https://github.com/keras-team/keras-hub/pull/897
* Speeding the tests for whisper by susnato in https://github.com/keras-team/keras-hub/pull/887
* Update BytePairTokenizerCache to have similar dtypes for x and y in self.factors. by Sruinard in https://github.com/keras-team/keras-hub/pull/871
* Init `_backbone`, `_tokenizer` and `_preprocessor` in Task by jbischof in https://github.com/keras-team/keras-hub/pull/899
* Rework Whisper docstrings for progressive disclosure of complexity by susnato in https://github.com/keras-team/keras-hub/pull/903
* Speed up default DeBERTa_v3 testing roughly 3x by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/905
* Rework docstring of XLMRoberta by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/882
* Stripping the MASK token by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/876
* Possible fix for task.summary() by mattdangerw in https://github.com/keras-team/keras-hub/pull/901
* Speed up default FNet testing speedups. by Cyber-Machine in https://github.com/keras-team/keras-hub/pull/894
* Added TPU test for DebertaV3Backbone by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/924
* Fix failing TPU tests by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/931
* Add model contribution guide by abheesht17 in https://github.com/keras-team/keras-hub/pull/820
* Resolved roberta_checkpoint by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/874
* GLUE evaluation automation script by susnato in https://github.com/keras-team/keras-hub/pull/848
* Ensure shape in sample so that the shape is correct after TFLite conversion by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/902
* Returning all Beams and Probs and adding a Testing Unit by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/908
* Roberta docstring reworking by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/910
* Speeding the tests for Albert by soma2000-lang in https://github.com/keras-team/keras-hub/pull/873
* Mlm mask generator docstring adding example by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/916
* Don't save traces for saved model by mattdangerw in https://github.com/keras-team/keras-hub/pull/945
* Bump stable tf version to 2.12 by mattdangerw in https://github.com/keras-team/keras-hub/pull/944
* Speeding the tests for DistilBert by soma2000-lang in https://github.com/keras-team/keras-hub/pull/872
* Allow BPE to treat special tokens as one token by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/939
* Edit examples in samplers by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/957
* Add RandomSampler to Samplers by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/952
* Add BartPreprocessor by abheesht17 in https://github.com/keras-team/keras-hub/pull/856
* Remove the old sampler utilities by mattdangerw in https://github.com/keras-team/keras-hub/pull/948
* Use direct imports everywhere in library by mattdangerw in https://github.com/keras-team/keras-hub/pull/961
* Update docstrings for relocated `sampler` arg by jbischof in https://github.com/keras-team/keras-hub/pull/964
* Fix gpt2, t5 and fnet under mixed precision by mattdangerw in https://github.com/keras-team/keras-hub/pull/958
* Small fixes for special_tokens arg in BPE by abheesht17 in https://github.com/keras-team/keras-hub/pull/969
* Add contrastive sampler by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/896
* Mark num_classes as required in Classifier classes by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/971
* Rework model docstrings for progressive disclosure of complexity for f_net by ADITYADAS1999 in https://github.com/keras-team/keras-hub/pull/879
* Handle OOV token in XLMRoBERTaTokenizer's token_to_id function by abheesht17 in https://github.com/keras-team/keras-hub/pull/968
* Clean up the docker and lint setup by haifeng-jin in https://github.com/keras-team/keras-hub/pull/981
* Update generate() to work like fit() and predict() by mattdangerw in https://github.com/keras-team/keras-hub/pull/932
* Speed top-p sampler up by only sampling from top-k tokens by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/980
* Expose the generate_step compilable function by mattdangerw in https://github.com/keras-team/keras-hub/pull/982
* Fix decoder inputs in BART preprocessor by abheesht17 in https://github.com/keras-team/keras-hub/pull/984
* Convert string tensors to python strings in `generate()` by mattdangerw in https://github.com/keras-team/keras-hub/pull/983
* Adding a temperature argument to the base sampler class and related tests by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/951
* Track the task preprocessor layer as part of model by mattdangerw in https://github.com/keras-team/keras-hub/pull/985
* Add an XLMRobertaMaskedLM task model by shivance in https://github.com/keras-team/keras-hub/pull/950
* Add an activation argument to all classifiers by mattdangerw in https://github.com/keras-team/keras-hub/pull/991
* Remove activation from README quickstart by mattdangerw in https://github.com/keras-team/keras-hub/pull/992
* Rework albert docstrings by mattdangerw in https://github.com/keras-team/keras-hub/pull/993
* Rework bart docstrings by mattdangerw in https://github.com/keras-team/keras-hub/pull/994
* Rework deberta docstrings by mattdangerw in https://github.com/keras-team/keras-hub/pull/995
* Misc fixes to docstrings by mattdangerw in https://github.com/keras-team/keras-hub/pull/996
* Added temperature argument to the Contrastive Sampler by TheAthleticCoder in https://github.com/keras-team/keras-hub/pull/997
* Add `OPTCausalLM` and preprocessors by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/990
* Version bump to 0.5.0.dev0 by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/1002
* Add a flag to restrict which docstring tests run by mattdangerw in https://github.com/keras-team/keras-hub/pull/999
* fix docstring for 0.5 release by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/1005
* Serialize activation fn properly by mattdangerw in https://github.com/keras-team/keras-hub/pull/1007
* Try adding an error if activation and loss are mismatched by mattdangerw in https://github.com/keras-team/keras-hub/pull/1008
* Fix docstring for 0.5 release by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/1009
* Switch to using pip_build for release by mattdangerw in https://github.com/keras-team/keras-hub/pull/1011
* Make version number SSoT. by fchollet in https://github.com/keras-team/keras-hub/pull/827
* Add DTensor layout map class method for OPT by mattdangerw in https://github.com/keras-team/keras-hub/pull/1000
* Add DTensor layout map class method for GPT-2 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1014
* Standalone functions for generate pre/post processing for GPT-2 by mattdangerw in https://github.com/keras-team/keras-hub/pull/998
* install namex in the publish workflow by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/1020
* Update publish-to-pypi.yml by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/1021
* Standalone functions for generate pre/post processing for OPT by mattdangerw in https://github.com/keras-team/keras-hub/pull/1015
* Fix typos in export by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/1024
* Fix unclosed fenced docstrings by mattdangerw in https://github.com/keras-team/keras-hub/pull/1025
* Fix a bug with computing the output mask after generate by mattdangerw in https://github.com/keras-team/keras-hub/pull/1029
* small updates to the release doc by chenmoneygithub in https://github.com/keras-team/keras-hub/pull/1031
* Sampler docstring edit by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1033
* Fix program crash for id_to_token() method in SentencePieceTokenizer by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1040
* Update our release process to preview docs before release by mattdangerw in https://github.com/keras-team/keras-hub/pull/1043
* Add Whisper Tokenizer and Audio Feature Extractor by abheesht17 in https://github.com/keras-team/keras-hub/pull/847
* Also strip padding token for opt by mattdangerw in https://github.com/keras-team/keras-hub/pull/1028
* Add regex dep by mattdangerw in https://github.com/keras-team/keras-hub/pull/1044
* Add BartSeq2SeqLM and conditional text generation with BART by abheesht17 in https://github.com/keras-team/keras-hub/pull/974
* Support list/tuple inputs for special tokens in StartEndPacker layer by abheesht17 in https://github.com/keras-team/keras-hub/pull/1045
* Support list/tuple inputs for special tokens in MultiSegmentPacker layer by abheesht17 in https://github.com/keras-team/keras-hub/pull/1046
* Fix a misleading part of our cached MHA docs by mattdangerw in https://github.com/keras-team/keras-hub/pull/1048
* Always pass weight name by kwarg by mattdangerw in https://github.com/keras-team/keras-hub/pull/1053
* Always pass metrics in a list or dict by mattdangerw in https://github.com/keras-team/keras-hub/pull/1054
* Move `Defaults to` to end of arg docstring and standardise values by SamuelMarks in https://github.com/keras-team/keras-hub/pull/1057
* Fix beam search for BART by abheesht17 in https://github.com/keras-team/keras-hub/pull/1058
* Replace tf.dtype with "dtype" by mattdangerw in https://github.com/keras-team/keras-hub/pull/1059
* Test shapes directly by mattdangerw in https://github.com/keras-team/keras-hub/pull/1064
* Clean up metrics tests by mattdangerw in https://github.com/keras-team/keras-hub/pull/1063
* Remove metrics merge tests by mattdangerw in https://github.com/keras-team/keras-hub/pull/1065
* Fix whisper feature inputs by mattdangerw in https://github.com/keras-team/keras-hub/pull/1069
* Always specify shape when creating variables by mattdangerw in https://github.com/keras-team/keras-hub/pull/1067
* Remove ragged support from position embeddings by mattdangerw in https://github.com/keras-team/keras-hub/pull/1068
* Clean up dtype handling for preprocessing layers by mattdangerw in https://github.com/keras-team/keras-hub/pull/1066
* Add BART finetuned on CNN+DM for summarisation by abheesht17 in https://github.com/keras-team/keras-hub/pull/1060
* Fix saving bug by mattdangerw in https://github.com/keras-team/keras-hub/pull/1073
* Fix t5 forward pass by mattdangerw in https://github.com/keras-team/keras-hub/pull/1082
* Feat/make transformer decoder callable without causal mask by ferraric in https://github.com/keras-team/keras-hub/pull/1083
* Adding `GPTNeoXBackbone` by shivance in https://github.com/keras-team/keras-hub/pull/1056
* Add a common test case by mattdangerw in https://github.com/keras-team/keras-hub/pull/1095
* Update register_keras_serializable to use saving module by mattdangerw in https://github.com/keras-team/keras-hub/pull/1094
* Don't test tf format by mattdangerw in https://github.com/keras-team/keras-hub/pull/1104
* Add `GPTNeoXPreprocessor` by shivance in https://github.com/keras-team/keras-hub/pull/1093
* Split layers into layers/modeling & layers/preprocessing by mattdangerw in https://github.com/keras-team/keras-hub/pull/1102
* Fix merge conflict from 1102 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1105
* Add a common base class for generative models by mattdangerw in https://github.com/keras-team/keras-hub/pull/1096
* Add `GPTNeoXCausalLMPreprocessor` by shivance in https://github.com/keras-team/keras-hub/pull/1106
* Add Whisper Presets by abheesht17 in https://github.com/keras-team/keras-hub/pull/1089
* Refactor `RotaryEmbedding` and `GPTNeoXAttention` by shivance in https://github.com/keras-team/keras-hub/pull/1101
* Remove all the secret keys for ci by mattdangerw in https://github.com/keras-team/keras-hub/pull/1126
* Fix publish to pypi action by mattdangerw in https://github.com/keras-team/keras-hub/pull/1127
* Update README for Keras Core by jbischof in https://github.com/keras-team/keras-hub/pull/1135
* Ignore errors in UTF-8 decoding by abheesht17 in https://github.com/keras-team/keras-hub/pull/1150
* Ports GPTNeoX to KerasCore by shivance in https://github.com/keras-team/keras-hub/pull/1137
* Small fix for mixed precision generation on tf by mattdangerw in https://github.com/keras-team/keras-hub/pull/1153
* Port DeBERTa to multi-backend by abheesht17 in https://github.com/keras-team/keras-hub/pull/1155
* Change all tensors passed to tf.data.Dataset to numpy by mattdangerw in https://github.com/keras-team/keras-hub/pull/1161
* Fix broken tests by mattdangerw in https://github.com/keras-team/keras-hub/pull/1163
* Pin keras-core to 0.1.0 while investigating failures by mattdangerw in https://github.com/keras-team/keras-hub/pull/1168
* Run GPU tests on Jax + Torch by ianstenbit in https://github.com/keras-team/keras-hub/pull/1160
* Fix flakes in masked lm testing by removing any indeterminism by mattdangerw in https://github.com/keras-team/keras-hub/pull/1171
* Always install the correct version with pip_build by mattdangerw in https://github.com/keras-team/keras-hub/pull/1174
* Remove tests for preprocessing inside a functional model by mattdangerw in https://github.com/keras-team/keras-hub/pull/1175
* Extend the timeout for large tests by mattdangerw in https://github.com/keras-team/keras-hub/pull/1103
* Add `GPTNeoXCausalLM` by shivance in https://github.com/keras-team/keras-hub/pull/1110
* Bump tensorflow to latest stable by mattdangerw in https://github.com/keras-team/keras-hub/pull/1170
* Add compute_output_shape to tokenizer by shivance in https://github.com/keras-team/keras-hub/pull/1166
* Stop pinning keras-core by mattdangerw in https://github.com/keras-team/keras-hub/pull/1178
* Port FNet by abheesht17 in https://github.com/keras-team/keras-hub/pull/1164
* Automate the update image flow by mattdangerw in https://github.com/keras-team/keras-hub/pull/1179
* Restore mask_position argument name by mattdangerw in https://github.com/keras-team/keras-hub/pull/1185
* Port contrastive sampler to multi-backend by mattdangerw in https://github.com/keras-team/keras-hub/pull/1187
* Port `BeamSampler` to core by shivance in https://github.com/keras-team/keras-hub/pull/1181
* Port metrics to multi-backend by mattdangerw in https://github.com/keras-team/keras-hub/pull/1186
* Generic `RotaryEmbedding` Layer by shivance in https://github.com/keras-team/keras-hub/pull/1180
* Raise ValueError when number of dims evaluate to zero by sampathweb in https://github.com/keras-team/keras-hub/pull/1198
* Add XLNetBackbone by susnato in https://github.com/keras-team/keras-hub/pull/1084
* Switch from tf.nest to dm-tree by mattdangerw in https://github.com/keras-team/keras-hub/pull/1199
* Fix CI for keras-core 0.1.4 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1202
* Fix ModuleNotFoundError `keras_nlp.models.xlnet` by shivance in https://github.com/keras-team/keras-hub/pull/1204
* Add support for "untied" embedding weights in language models by mattdangerw in https://github.com/keras-team/keras-hub/pull/1201
* Add start_index argument to all position embedding layers by mattdangerw in https://github.com/keras-team/keras-hub/pull/1209
* Remove windows line endings by mattdangerw in https://github.com/keras-team/keras-hub/pull/1210
* Fix Autograph error with perplexity metric by shivance in https://github.com/keras-team/keras-hub/pull/1211
* [JAX backend]: Fix errors with perplexity by shivance in https://github.com/keras-team/keras-hub/pull/1213
* Improve layer naming consistency by mattdangerw in https://github.com/keras-team/keras-hub/pull/1219
* Stop asserting key order in bart preprocessor by mattdangerw in https://github.com/keras-team/keras-hub/pull/1221
* Remove file level docstrings by mattdangerw in https://github.com/keras-team/keras-hub/pull/1222
* Fix typos by mattdangerw in https://github.com/keras-team/keras-hub/pull/1220
* Typo fix by mattdangerw in https://github.com/keras-team/keras-hub/pull/1223
* Fix RotaryEmbedding import by shivance in https://github.com/keras-team/keras-hub/pull/1217
* Update transformer_decoder for the proper naming of the sublayers. by qlzh727 in https://github.com/keras-team/keras-hub/pull/1230
* Replace tf with numpy by mattdangerw in https://github.com/keras-team/keras-hub/pull/1232
* Update to always using ops.shape by mattdangerw in https://github.com/keras-team/keras-hub/pull/1231
* Add a test harness based on keras-core's `run_layer_test` by mattdangerw in https://github.com/keras-team/keras-hub/pull/1238
* fixed token_to_id doc + error msg by jackd in https://github.com/keras-team/keras-hub/pull/1240
* Changed default TokenAndPositionEmbedding initializer to 'uniform' by jackd in https://github.com/keras-team/keras-hub/pull/1237
* Add compat shims for the upcoming keras-core release by mattdangerw in https://github.com/keras-team/keras-hub/pull/1244
* Depend on latest keras-core by mattdangerw in https://github.com/keras-team/keras-hub/pull/1246
* Removed the undefined self.sequence_length by sahusiddharth in https://github.com/keras-team/keras-hub/pull/1245
* Bump devcontainer to 3.9 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1249
* Add a mixed precision test and fix mixed precision errors for layers by mattdangerw in https://github.com/keras-team/keras-hub/pull/1242
* Quick fix for 0.1.7 keras-core release by mattdangerw in https://github.com/keras-team/keras-hub/pull/1251
* Small docstring fixes for the upcoming release by mattdangerw in https://github.com/keras-team/keras-hub/pull/1253
* Don't export model internals publicly by mattdangerw in https://github.com/keras-team/keras-hub/pull/1255
* Bump master branch version number to 0.7.0.dev0 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1254
* Fix/allow different encoder and decoder feature dimensions in transformer decoder layer by ferraric in https://github.com/keras-team/keras-hub/pull/1260
* Doc updates to switch branding to Keras 3 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1259
* Remove unused TPU testing for backbones by mattdangerw in https://github.com/keras-team/keras-hub/pull/1266
* Make gelu a function, not a lambda so it can be loaded without safe_mode=False by calvingiles in https://github.com/keras-team/keras-hub/pull/1262
* Update requirements and install instructions for multi-backend keras by mattdangerw in https://github.com/keras-team/keras-hub/pull/1257
* Support Keras 3 installation by mattdangerw in https://github.com/keras-team/keras-hub/pull/1258
* Remove dtensor by mattdangerw in https://github.com/keras-team/keras-hub/pull/1268
* Add a lora dense layer by mattdangerw in https://github.com/keras-team/keras-hub/pull/1263
* Factor out testing routines for models by mattdangerw in https://github.com/keras-team/keras-hub/pull/1269
* Convert T5 to Keras 3 by nkovela1 in https://github.com/keras-team/keras-hub/pull/1274
* Fix missing backticks in DistilBertClassifier docstrings by Philmod in https://github.com/keras-team/keras-hub/pull/1278
* T5 checkpoint conversion with HF by nkovela1 in https://github.com/keras-team/keras-hub/pull/1277
* Use gelu_approximate directly in t5 presets by mattdangerw in https://github.com/keras-team/keras-hub/pull/1284
* Add preset tests and weights URLs by nkovela1 in https://github.com/keras-team/keras-hub/pull/1285
* Support loading keras 3 nightly by mattdangerw in https://github.com/keras-team/keras-hub/pull/1286
* Remove the use of `SentencePieceTrainer` from tests by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1283
* Fix XLM-RoBERTa detokenize() by abheesht17 in https://github.com/keras-team/keras-hub/pull/1289
* Correct tie_embedding_weights and add logit checking by nkovela1 in https://github.com/keras-team/keras-hub/pull/1288
* Add detokenize testing for model tokenizers by mattdangerw in https://github.com/keras-team/keras-hub/pull/1290
* Fix Whisper by abheesht17 in https://github.com/keras-team/keras-hub/pull/1287
* Test against Keras 3 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1273
* Support TF_USE_LEGACY_KERAS by mattdangerw in https://github.com/keras-team/keras-hub/pull/1295
* Run workflows with read-only tokens by pnacht in https://github.com/keras-team/keras-hub/pull/1305
* Update CONTRIBUTING.md by mattdangerw in https://github.com/keras-team/keras-hub/pull/1310
* Add GitHub Action for Nightly by sampathweb in https://github.com/keras-team/keras-hub/pull/1309
* Fix the publish to pypi action by mattdangerw in https://github.com/keras-team/keras-hub/pull/1311
* Fix nightly tf failure by mattdangerw in https://github.com/keras-team/keras-hub/pull/1316
* Switch deberta to use the "int" dtype by mattdangerw in https://github.com/keras-team/keras-hub/pull/1315
* Add security policy by pnacht in https://github.com/keras-team/keras-hub/pull/1319
* Fix missing export for reversible embedding by mattdangerw in https://github.com/keras-team/keras-hub/pull/1327
* Add `version` API to keras_nlp by grasskin in https://github.com/keras-team/keras-hub/pull/1324
* Fix Keras 3 version check by sampathweb in https://github.com/keras-team/keras-hub/pull/1328
* Simplify running KerasNLP with Keras 3 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1308
* Fix issues with version by mattdangerw in https://github.com/keras-team/keras-hub/pull/1332
* Fix typo in whisper presets files by mattdangerw in https://github.com/keras-team/keras-hub/pull/1337
* `ELECTRA` backbone implementation in keras by pranavvp16 in https://github.com/keras-team/keras-hub/pull/1291
* Fix t5 tokenizer expected output by mattdangerw in https://github.com/keras-team/keras-hub/pull/1348
* Add __init__.py for electra by mattdangerw in https://github.com/keras-team/keras-hub/pull/1352
* Remove lora dense for now by mattdangerw in https://github.com/keras-team/keras-hub/pull/1359
* Adds Kokoro Build script for Keras-NLP GPU tests by sampathweb in https://github.com/keras-team/keras-hub/pull/1355
* Fixes GPU Test failures for Keras 3 by sampathweb in https://github.com/keras-team/keras-hub/pull/1361
* Change Continuous config to also run only large tests by sampathweb in https://github.com/keras-team/keras-hub/pull/1362
* ElectraTokenizer by pranavvp16 in https://github.com/keras-team/keras-hub/pull/1357
* Add MistralAI's 7B Transformer as a backbone in KerasNLP Models by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1314
* changing pooling output by mbrhd in https://github.com/keras-team/keras-hub/pull/1364
* Add `LlamaBackbone` by shivance in https://github.com/keras-team/keras-hub/pull/1203
* Align pip_build with keras by sampathweb in https://github.com/keras-team/keras-hub/pull/1374
* Remove cloudbuild config by mattdangerw in https://github.com/keras-team/keras-hub/pull/1375
* Fix one last bad preset hash by mattdangerw in https://github.com/keras-team/keras-hub/pull/1381
* Add a tokenizer for the Mistral backbone by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1383
* Kaggle Presets by sampathweb in https://github.com/keras-team/keras-hub/pull/1365
* Fix mistral and electra tokenizer to match kaggle changes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1387
* Align requirments with Keras by sampathweb in https://github.com/keras-team/keras-hub/pull/1386
* Add a preprocessor for the Mistral backbone by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1385
* Switch to always expect full Kaggle preset handles by mattdangerw in https://github.com/keras-team/keras-hub/pull/1390
* Fix test for recent keras 3 change by mattdangerw in https://github.com/keras-team/keras-hub/pull/1400
* Pass less state to jax generate function by mattdangerw in https://github.com/keras-team/keras-hub/pull/1398
* Add llama tokenizer by mattdangerw in https://github.com/keras-team/keras-hub/pull/1401
* Add Bloom Model by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1382
* Try fixing tests by mattdangerw in https://github.com/keras-team/keras-hub/pull/1411
* Revert "Pass less state to jax generate function (1398)" by mattdangerw in https://github.com/keras-team/keras-hub/pull/1412
* Bloom tokenizer by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1403
* Update black formatting by mattdangerw in https://github.com/keras-team/keras-hub/pull/1415
* Add Alibi bias layer by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1404
* Pin to `tensorflow-hub 0.16.0` to fix CI error by sampathweb in https://github.com/keras-team/keras-hub/pull/1420
* Update TF Text and remove TF Hub deps by sampathweb in https://github.com/keras-team/keras-hub/pull/1423
* Pin Jax Version in GPU CI by sampathweb in https://github.com/keras-team/keras-hub/pull/1430
* Add Bloom preprocessor by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1424
* Add layer attributes for all functional models by mattdangerw in https://github.com/keras-team/keras-hub/pull/1421
* Allow setting dtype per model by mattdangerw in https://github.com/keras-team/keras-hub/pull/1431
* Add a Causal LM model for Mistral by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1429
* Fix bart by mattdangerw in https://github.com/keras-team/keras-hub/pull/1434
* Add a settable property for sequence_length by mattdangerw in https://github.com/keras-team/keras-hub/pull/1437
* Add dependabot to update GH Actions and Python dependencies by pnacht in https://github.com/keras-team/keras-hub/pull/1380
* Bump the github-actions group with 1 update by dependabot in https://github.com/keras-team/keras-hub/pull/1438
* Add 7B presets for Mistral by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1436
* Update byte_pair_tokenizer.py to close merges file properly by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1440
* bump version to 0.8 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1441
* Update our sampler documentation to reflect usage by mattdangerw in https://github.com/keras-team/keras-hub/pull/1444
* Add Gemma model by mattdangerw in https://github.com/keras-team/keras-hub/pull/1448
* Update to the newest version of Gemma on Kaggle by mattdangerw in https://github.com/keras-team/keras-hub/pull/1454
* Add dtype arg to Gemma HF conversion script by nkovela1 in https://github.com/keras-team/keras-hub/pull/1452
* Fix gemma testing import by mattdangerw in https://github.com/keras-team/keras-hub/pull/1462
* Add docstring for PyTorch conversion script install instructions by nkovela1 in https://github.com/keras-team/keras-hub/pull/1471
* Add an annotation to tests that need kaggle auth by mattdangerw in https://github.com/keras-team/keras-hub/pull/1470
* Fix Mistral memory consumption with JAX and default dtype bug by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1460
* Bump the master version to 0.9 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1473
* Pin to TF 2.16 RC0 by sampathweb in https://github.com/keras-team/keras-hub/pull/1478
* Fix gemma rms_normalization's use of epsilon by cpsauer in https://github.com/keras-team/keras-hub/pull/1472
* Add `FalconBackbone` by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1475
* CI - Add kaggle creds to pull model by sampathweb in https://github.com/keras-team/keras-hub/pull/1459
* bug in example for ReversibleEmbedding by TheCrazyT in https://github.com/keras-team/keras-hub/pull/1484
* doc fix for constrastive sampler by mattdangerw in https://github.com/keras-team/keras-hub/pull/1488
* Remove broken link to masking and padding guide by mattdangerw in https://github.com/keras-team/keras-hub/pull/1487
* Fix a typo in causal_lm_preprocessors by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1489
* Fix dtype accessors of tasks/backbones by mattdangerw in https://github.com/keras-team/keras-hub/pull/1486
* Auto-labels 'gemma' on 'gemma' issues/PRs. by shmishra99 in https://github.com/keras-team/keras-hub/pull/1490
* Add BloomCausalLM by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1467
* Remove the bert jupyter conversion notebooks by mattdangerw in https://github.com/keras-team/keras-hub/pull/1492
* Add `FalconTokenizer` by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1485
* Add `FalconPreprocessor` by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1498
* Rename 176B presets & Add other presets into bloom_presets.py by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1496
* Add bloom presets by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1501
* Create workflow for auto assignment of issues and for stale issues by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1495
* Update requirements to TF 2.16 by sampathweb in https://github.com/keras-team/keras-hub/pull/1503
* Expose Task and Backbone by mattdangerw in https://github.com/keras-team/keras-hub/pull/1506
* Clean up and add our gemma conversion script by mattdangerw in https://github.com/keras-team/keras-hub/pull/1493
* Don't auto-update JAX GPU by sampathweb in https://github.com/keras-team/keras-hub/pull/1507
* Keep rope at float32 precision by grasskin in https://github.com/keras-team/keras-hub/pull/1497
* Bump the python group with 2 updates by dependabot in https://github.com/keras-team/keras-hub/pull/1509
* Fixes for the LLaMA backbone + add dropout by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1499
* Add `LlamaPreprocessor` and `LlamaCausalLMPreprocessor` by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1511
* Always run the rotary embedding layer in float32 by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1508
* CI: Fix psutil - Remove install of Python 3.9 and alias of python3 by sampathweb in https://github.com/keras-team/keras-hub/pull/1514
* Update gemma_backbone.py for sharding config. by qlzh727 in https://github.com/keras-team/keras-hub/pull/1491
* Docs/modelling layers by mykolaskrynnyk in https://github.com/keras-team/keras-hub/pull/1502
* Standardize docstring by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1516
* Support tokenization of special tokens for word_piece_tokenizer by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1397
* Upload Model to Kaggle by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1512
* Add scoring mode to MistralCausalLM by RyanMullins in https://github.com/keras-team/keras-hub/pull/1521
* Add Mistral Instruct V0.2 preset by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1520
* Add Tests for Kaggle Upload Validation by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1524
* Add presets for Electra and checkpoint conversion script by pranavvp16 in https://github.com/keras-team/keras-hub/pull/1384
* Allow saving / loading from Huggingface Hub preset by Wauplin in https://github.com/keras-team/keras-hub/pull/1510
* Stop on multiple end tokens by grasskin in https://github.com/keras-team/keras-hub/pull/1518
* Fix doc: `mistral_base_en` -> `mistral_7b_en` by asmith26 in https://github.com/keras-team/keras-hub/pull/1528
* Add lora example to GemmaCausalLM docstring by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1527
* Add LLaMA Causal LM with 7B presets by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1526
* Add task base classes; support out of tree library extensions by mattdangerw in https://github.com/keras-team/keras-hub/pull/1517
* Doc fixes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1530
* Run the LLaMA and Mistral RMS Layer Norm in float32 by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1532
* Adds score API to GPT-2 by RyanMullins in https://github.com/keras-team/keras-hub/pull/1533
* increase pip timeout to 1000s to avoid connection resets by sampathweb in https://github.com/keras-team/keras-hub/pull/1535
* Adds the score API to LlamaCausalLM by RyanMullins in https://github.com/keras-team/keras-hub/pull/1534
* Implement compute_output_spec() for tokenizers with vocabulary. by briango28 in https://github.com/keras-team/keras-hub/pull/1523
* Remove staggler type annotiations by mattdangerw in https://github.com/keras-team/keras-hub/pull/1536
* Always run SiLU activation in float32 for LLaMA and Mistral by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1540
* Bump the python group with 2 updates by dependabot in https://github.com/keras-team/keras-hub/pull/1538
* Disallow saving to preset from keras 2 by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1545
* Fix the rotary embedding computation in LLaMA by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1544
* Fix re-compilation bugs by mattdangerw in https://github.com/keras-team/keras-hub/pull/1541
* Fix preprocessor from_preset bug by mattdangerw in https://github.com/keras-team/keras-hub/pull/1549
* Fix a strange issue with preprocessing layer output types by mattdangerw in https://github.com/keras-team/keras-hub/pull/1550
* Fix lowercase bug in wordpiece tokenizer by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1543
* Small docs updates by mattdangerw in https://github.com/keras-team/keras-hub/pull/1553
* Add a few new preset for gemma by mattdangerw in https://github.com/keras-team/keras-hub/pull/1556
* Fix the new stop_token_ids argument by mattdangerw in https://github.com/keras-team/keras-hub/pull/1558
* Fix tests with the "auto" default for stop token ids by mattdangerw in https://github.com/keras-team/keras-hub/pull/1559
* Fix `print_fn` issue in task test by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1563
* Update presets for code gemma by mattdangerw in https://github.com/keras-team/keras-hub/pull/1564
* Fix saving bug for untied weights with keras 3.2 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1568
* 0.9 is out, nightly should be a preview of 0.10 now by mattdangerw in https://github.com/keras-team/keras-hub/pull/1570
* Do the reverse embedding in the same dtype as the input embedding by mattdangerw in https://github.com/keras-team/keras-hub/pull/1548
* Add support for positions array in `keras_nlp.layers.RotaryEmbedding` layer by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1571
* Support Task Saving/Loading by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1547
* Improve error handling for non-keras model loading attempts by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1577
* Add Model Card for Hugging Face Upload by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1578
* Add Saving Tests by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1590
* Improve error handling for missing TensorFlow dependency in keras_nlp. by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1585
* Fix Keras import by sampathweb in https://github.com/keras-team/keras-hub/pull/1593
* Check kagglehub version before upload by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1594
* Change the order of importing `keras` by james77777778 in https://github.com/keras-team/keras-hub/pull/1596
* Add backend info to HF model card by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1599
* Bump required kagglehub version to 0.2.4 by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1600
* Bump `bert_tiny_en_uncased_sst2` classifier version by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1602
* Allow a task preprocessor to be an argument in from_preset by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1603
* API Generation by sampathweb in https://github.com/keras-team/keras-hub/pull/1608
* Update readme with some recent changes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1575
* Bump the python group with 2 updates by dependabot in https://github.com/keras-team/keras-hub/pull/1611
* Add CodeGemma 1.1 presets by grasskin in https://github.com/keras-team/keras-hub/pull/1617
* Fix rope scaling factor by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1605
* Fix the issue of propagating `training` argument in subclasses by james77777778 in https://github.com/keras-team/keras-hub/pull/1623
* Pass kwargs to tokenizer when creating preprocessor by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1632
* Add phi3 by abuelnasr0 in https://github.com/keras-team/keras-hub/pull/1597
* Add LLaMA 3 tokenizer and preset by tirthasheshpatel in https://github.com/keras-team/keras-hub/pull/1584
* Export missing llama 3 symbol by mattdangerw in https://github.com/keras-team/keras-hub/pull/1633
* PaliGemma by mattdangerw in https://github.com/keras-team/keras-hub/pull/1636
* Update pali_gemma_presets.py by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1637
* Update version to 0.13.0 for the master branch by mattdangerw in https://github.com/keras-team/keras-hub/pull/1640
* Update llama3 preset versions by mattdangerw in https://github.com/keras-team/keras-hub/pull/1641
* extra argument in save_to_preset method by sineeli in https://github.com/keras-team/keras-hub/pull/1634
* Fix a typo in an error handling message by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1647
* Fix a typo in phi3 metadata by mattdangerw in https://github.com/keras-team/keras-hub/pull/1646
* Add `FalconCausalLM` by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1635
* Add include rescaling to the pali gemma backbone by mattdangerw in https://github.com/keras-team/keras-hub/pull/1650
* PaliGemma docstring fix by mattdangerw in https://github.com/keras-team/keras-hub/pull/1651
* Fix newline characters for pali_gemma by mattdangerw in https://github.com/keras-team/keras-hub/pull/1655
* Remove dead code by mattdangerw in https://github.com/keras-team/keras-hub/pull/1659
* Fix some testing on the latest version of keras by mattdangerw in https://github.com/keras-team/keras-hub/pull/1663
* Vicuna Models checkpoints transfer script by sineeli in https://github.com/keras-team/keras-hub/pull/1657
* Add documented but missing methods for some tokenizers by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1664
* Changed from_preset file downloading to use GFile when able by VarunS1997 in https://github.com/keras-team/keras-hub/pull/1665
* Fix gfile downloads by mattdangerw in https://github.com/keras-team/keras-hub/pull/1666
* More error handling for gfile by mattdangerw in https://github.com/keras-team/keras-hub/pull/1667
* Update error message by mattdangerw in https://github.com/keras-team/keras-hub/pull/1668
* Ditch Keras 2 support by mattdangerw in https://github.com/keras-team/keras-hub/pull/1658
* fix GemmaBackbone.get_layout_map + test by martin-gorner in https://github.com/keras-team/keras-hub/pull/1669
* Covert a `safetensor` checkpoint from Hugging Face hub by ariG23498 in https://github.com/keras-team/keras-hub/pull/1662
* Add Gemma 2 model by grasskin in https://github.com/keras-team/keras-hub/pull/1673
* Version bump to 0.14.0.dev0 by grasskin in https://github.com/keras-team/keras-hub/pull/1675
* Revert "Version bump to 0.14.0.dev0" by grasskin in https://github.com/keras-team/keras-hub/pull/1676
* Remove Keras pin, fix tests by mattdangerw in https://github.com/keras-team/keras-hub/pull/1681
* Add quantization support for `Gemma`, `Gemma2` and `PaliGemma` by james77777778 in https://github.com/keras-team/keras-hub/pull/1670
* add vicuna preset by sineeli in https://github.com/keras-team/keras-hub/pull/1672
* Porting Gemma 2 transformers checkpoint by ariG23498 in https://github.com/keras-team/keras-hub/pull/1678
* Improve CI speed and resolve issues of `run_quantization_check` by james77777778 in https://github.com/keras-team/keras-hub/pull/1682
* Remove build_from_signature from MHA layers by mattdangerw in https://github.com/keras-team/keras-hub/pull/1687
* Refactoring: in CachedMultiHeadAttention call MHA methods instead of recoding the attention calculation by apehex in https://github.com/keras-team/keras-hub/pull/1684
* Porting PaliGemma transformers checkpoint by ariG23498 in https://github.com/keras-team/keras-hub/pull/1686
* Allow importing keras_nlp without tensorflow by mattdangerw in https://github.com/keras-team/keras-hub/pull/1660
* Add flag to gemma conversion script to specify local orbax by mattdangerw in https://github.com/keras-team/keras-hub/pull/1688
* Fix compatibility for earlier versions of Keras by james77777778 in https://github.com/keras-team/keras-hub/pull/1690
* Add a test against keras-nightly by mattdangerw in https://github.com/keras-team/keras-hub/pull/1693
* Fix dtype bugs in `ReversibleEmbedding` and `LayerNorm` by james77777778 in https://github.com/keras-team/keras-hub/pull/1692
* Partially revert 1687 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1695
* Fix quantization test for `XLNet` by james77777778 in https://github.com/keras-team/keras-hub/pull/1699
* Add a HF BERT converter, improve safetensor loading by mattdangerw in https://github.com/keras-team/keras-hub/pull/1694
* Add a subtle fix for gemma 2 conversions by mattdangerw in https://github.com/keras-team/keras-hub/pull/1701
* One more small Gemma conversion fix by mattdangerw in https://github.com/keras-team/keras-hub/pull/1702
* Slightly more defensive handling of type for backbone by mattdangerw in https://github.com/keras-team/keras-hub/pull/1703
* Add support for converting Gemma 2 checkpoints by mattdangerw in https://github.com/keras-team/keras-hub/pull/1700
* Make it clearer what is running in the github action UI by mattdangerw in https://github.com/keras-team/keras-hub/pull/1707
* Try upgrading tensorflow pin by mattdangerw in https://github.com/keras-team/keras-hub/pull/1706
* Bump version to fix query norm in Gemma 2 9b by mattdangerw in https://github.com/keras-team/keras-hub/pull/1709
* Gemma: Add logit soft-capping to score function. by RyanMullins in https://github.com/keras-team/keras-hub/pull/1712
* Version bump HEAD to 0.15 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1713
* Port gpt2 transformers checkpoint by cosmo3769 in https://github.com/keras-team/keras-hub/pull/1704
* Add soft capping to reversible embedding layer by mattdangerw in https://github.com/keras-team/keras-hub/pull/1718
* Add presets for gemma 2 2b by mattdangerw in https://github.com/keras-team/keras-hub/pull/1721
* Utilize `to_numpy=True` in `quantize` if available by james77777778 in https://github.com/keras-team/keras-hub/pull/1725
* Dynamic int8 quantization for Llama2 and Llama3 by james77777778 in https://github.com/keras-team/keras-hub/pull/1720
* Bump the python group with 2 updates by dependabot in https://github.com/keras-team/keras-hub/pull/1726
* Shield gemma shortnames by mattdangerw in https://github.com/keras-team/keras-hub/pull/1731
* Sliding window fixes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1738
* Add int8 models to Llama2 and Llama3 by james77777778 in https://github.com/keras-team/keras-hub/pull/1734
* Port distilbert transformer checkpoint by cosmo3769 in https://github.com/keras-team/keras-hub/pull/1736
* Add support of `kwargs` to `Backbone.from_preset` and fix the dtype forwarding in `Task.from_preset` by james77777778 in https://github.com/keras-team/keras-hub/pull/1742
* Remove src init file contents by mattdangerw in https://github.com/keras-team/keras-hub/pull/1743
* Remove ROADMAP.md by mattdangerw in https://github.com/keras-team/keras-hub/pull/1773
* Fix nested list in args on keras.io by mattdangerw in https://github.com/keras-team/keras-hub/pull/1772
* Remove stale tf only examples by mattdangerw in https://github.com/keras-team/keras-hub/pull/1771
* Limit the default sequence length to 1024 for all models by mattdangerw in https://github.com/keras-team/keras-hub/pull/1770
* Consistent preprocessing output on all backends by mattdangerw in https://github.com/keras-team/keras-hub/pull/1777
* Port albert transformer checkpoint by cosmo3769 in https://github.com/keras-team/keras-hub/pull/1767
* Lower the default learning rate for albert by mattdangerw in https://github.com/keras-team/keras-hub/pull/1786
* Port bart transformer checkpoint by cosmo3769 in https://github.com/keras-team/keras-hub/pull/1783
* Add an option to disable default compilation by mattdangerw in https://github.com/keras-team/keras-hub/pull/1787
* Port mistral transformer checkpoint by cosmo3769 in https://github.com/keras-team/keras-hub/pull/1768
* [Bart]Fix missing weight port by cosmo3769 in https://github.com/keras-team/keras-hub/pull/1789
* Remove python 3.8 version in setup.py by mattdangerw in https://github.com/keras-team/keras-hub/pull/1792
* Class detection works for huggingface checkpoints by mattdangerw in https://github.com/keras-team/keras-hub/pull/1800
* Rename KerasNLP symbols for a multi-modal future by mattdangerw in https://github.com/keras-team/keras-hub/pull/1803
* Move preprocessing to base classes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1807
* Add `add_bos=False, add_eos=False` to SentencePieceTokenizer.__init__() by briango28 in https://github.com/keras-team/keras-hub/pull/1811
* Only load a full task config when `load_task_extras` is passed by mattdangerw in https://github.com/keras-team/keras-hub/pull/1812
* Add image and audio converter classes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1813
* Simplify registering "built-in" presets by mattdangerw in https://github.com/keras-team/keras-hub/pull/1818
* Support image and audio information in task summaries by mattdangerw in https://github.com/keras-team/keras-hub/pull/1819
* Take two of 1812, simpler classifier head loading by mattdangerw in https://github.com/keras-team/keras-hub/pull/1823
* Remove preprocessing layers we no longer use by mattdangerw in https://github.com/keras-team/keras-hub/pull/1824
* Add missing aliases by mattdangerw in https://github.com/keras-team/keras-hub/pull/1828
* Bump nightly and head package version to 0.16 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1826
* Fix `post_attention_norm` name in Gemma by SamanehSaadat in https://github.com/keras-team/keras-hub/pull/1834
* Update README.md by mattdangerw in https://github.com/keras-team/keras-hub/pull/1837
* Fix saved classifier models from before 0.14 by mattdangerw in https://github.com/keras-team/keras-hub/pull/1839
* Fix device scope issues by mattdangerw in https://github.com/keras-team/keras-hub/pull/1841
* Preprocessing decorator fixes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1843
* Keras hub rename by mattdangerw in https://github.com/keras-team/keras-hub/pull/1840
* Update README.md by mattdangerw in https://github.com/keras-team/keras-hub/pull/1846
* Add imagenet prediction decoder by mattdangerw in https://github.com/keras-team/keras-hub/pull/1848
* Update links github links post rename by mattdangerw in https://github.com/keras-team/keras-hub/pull/1851
* Add anchor_generator, box_matcher and non_max_supression by sineeli in https://github.com/keras-team/keras-hub/pull/1849
* Keras nlp shim by mattdangerw in https://github.com/keras-team/keras-hub/pull/1853
* Only publish KerasNLP if we have a release tag by mattdangerw in https://github.com/keras-team/keras-hub/pull/1854
* Make keras-nlp-nightly shim depend on keras-hub-nightly shim by mattdangerw in https://github.com/keras-team/keras-hub/pull/1856
* Version bump by mattdangerw in https://github.com/keras-team/keras-hub/pull/1857
* Fix api_export.py by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1858
* Expunge include_rescaling from backbones by mattdangerw in https://github.com/keras-team/keras-hub/pull/1859
* add SAM model by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1847
* Add StableDiffusion3 by james77777778 in https://github.com/keras-team/keras-hub/pull/1820
* Weights densenet by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1855
* Add StableDiffusion3 preset by james77777778 in https://github.com/keras-team/keras-hub/pull/1884
* Remove copyright notices by fchollet in https://github.com/keras-team/keras-hub/pull/1882
* update preprocessor docstring by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1881
* Update kokoro for new name by mattdangerw in https://github.com/keras-team/keras-hub/pull/1852
* update README by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1886
* update jax version by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1888
* Remove remaining copyright mentions by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1889
* [RetinaNet] Add FPN, RetinaNet label encoder as part of phase 1 by sineeli in https://github.com/keras-team/keras-hub/pull/1885
* Add SAM weights conversion and preprocessor flow by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1891
* added "tie_word_emebeddings" setting necessary for Llama 3.2 by martin-gorner in https://github.com/keras-team/keras-hub/pull/1895
* MixTransformer Argument Clarification by DavidLandup0 in https://github.com/keras-team/keras-hub/pull/1894
* Update README by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1890
* Allow backbone to be any functional, preprocessor any callable by mattdangerw in https://github.com/keras-team/keras-hub/pull/1900
* Update the conversion script to match preprocessor names and register presets by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1902
* Image classifier changes by mattdangerw in https://github.com/keras-team/keras-hub/pull/1901
* Bump the python group with 2 updates by dependabot in https://github.com/keras-team/keras-hub/pull/1898
* Add `VAEBackbone` and use it for SD3 by james77777778 in https://github.com/keras-team/keras-hub/pull/1892
* Add Deeplabv3Plus and DeepLabV3 with segmentation by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1869
* Support Gemma2 checkpoint conversion by jeffcarp in https://github.com/keras-team/keras-hub/pull/1905
* BytePairTokenizer must not split sequences of \n by martin-gorner in https://github.com/keras-team/keras-hub/pull/1910
* fix for generation that never stops in Llama3-Instruct variants by martin-gorner in https://github.com/keras-team/keras-hub/pull/1904
* fix failing JAX GPU test by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1911
* Refactor `MMDiT`, add `ImageToImage` and `Inpaint` for SD3 by james77777778 in https://github.com/keras-team/keras-hub/pull/1909
* Minor bug fix to image_converter.image_size by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1915
* [Mix Transformer] Add Presets for MiTB0...MiTB5 by DavidLandup0 in https://github.com/keras-team/keras-hub/pull/1893
* remove default resizing for vision backbones by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1916
* Update VGG model to be compatible with Timm weights and add conversion scripts by jeffcarp in https://github.com/keras-team/keras-hub/pull/1914
* Deeplab presets by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1918
* update presets to point to the main Keras Kaggle page by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1921
* Added test for the way BytePairTokenizer handles the \n\n sequence, which is important in Lama chat templates by martin-gorner in https://github.com/keras-team/keras-hub/pull/1912
* Task models fix by martin-gorner in https://github.com/keras-team/keras-hub/pull/1922
* adding option strip_prompt to generate() by martin-gorner in https://github.com/keras-team/keras-hub/pull/1913
* Layout map for Llama by martin-gorner in https://github.com/keras-team/keras-hub/pull/1923
* Update deeplab_v3_presets.py by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1924
* Add paths to get SAM weights from by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1925
* Two fixes for image resizing in preprocessing by mattdangerw in https://github.com/keras-team/keras-hub/pull/1927
* add back default image resizing by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1926
* Update deeplab_v3_presets.py by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1928
* Update PaliGemma to remove `include_rescaling` arg by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1917
* fix path by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1929
* Fix paligemma checkpoint conversion script by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1931
* update preset path to point to latest version of models by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1932
* Update sdv3 path by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1934
* update sam docstring to show correct backbone in docstring by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1936
* Convert input dictionary to tensors during train_on_batch by wenxindongwork in https://github.com/keras-team/keras-hub/pull/1919
* Register VGG presets. by sachinprasadhs in https://github.com/keras-team/keras-hub/pull/1935
* Add ResNetVD presets by gowthamkpr in https://github.com/keras-team/keras-hub/pull/1897
* Rename mix_tranformer to mit by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1937
* Fix docstrings and args default values by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1938
* Update sam_presets.py by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1940
* Update vit_det_backbone.py by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1941
* fix gpu test by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1939
* Added Support for Returning Attention Scores in TransformerEncoder call by anirudhr20 in https://github.com/keras-team/keras-hub/pull/1879
* Mark preset tests as large by divyashreepathihalli in https://github.com/keras-team/keras-hub/pull/1942
New Contributors
* haifeng-jin made their first contribution in https://github.com/keras-team/keras-hub/pull/618
* mbrukman made their first contribution in https://github.com/keras-team/keras-hub/pull/628
* soma2000-lang made their first contribution in https://github.com/keras-team/keras-hub/pull/665
* NusretOzates made their first contribution in https://github.com/keras-team/keras-hub/pull/664
* shivance made their first contribution in https://github.com/keras-team/keras-hub/pull/673
* Plutone11011 made their first contribution in https://github.com/keras-team/keras-hub/pull/714
* TheAthleticCoder made their first contribution in https://github.com/keras-team/keras-hub/pull/731
* Neeshamraghav012 made their first contribution in https://github.com/keras-team/keras-hub/pull/734
* apupneja made their first contribution in https://github.com/keras-team/keras-hub/pull/751
* Cyber-Machine made their first contribution in https://github.com/keras-team/keras-hub/pull/690
* atharvapurdue made their first contribution in https://github.com/keras-team/keras-hub/pull/781
* fchollet made their first contribution in https://github.com/keras-team/keras-hub/pull/747
* susnato made their first contribution in https://github.com/keras-team/keras-hub/pull/771
* jaygala223 made their first contribution in https://github.com/keras-team/keras-hub/pull/805
* abodinier made their first contribution in https://github.com/keras-team/keras-hub/pull/790
* Akorex made their first contribution in https://github.com/keras-team/keras-hub/pull/853
* Warlord-K made their first contribution in https://github.com/keras-team/keras-hub/pull/893
* Sruinard made their first contribution in https://github.com/keras-team/keras-hub/pull/871
* abuelnasr0 made their first contribution in https://github.com/keras-team/keras-hub/pull/882
* SamuelMarks made their first contribution in https://github.com/keras-team/keras-hub/pull/1057
* ferraric made their first contribution in https://github.com/keras-team/keras-hub/pull/1083
* ianstenbit made their first contribution in https://github.com/keras-team/keras-hub/pull/1160
* qlzh727 made their first contribution in https://github.com/keras-team/keras-hub/pull/1230
* jackd made their first contribution in https://github.com/keras-team/keras-hub/pull/1240
* sahusiddharth made their first contribution in https://github.com/keras-team/keras-hub/pull/1245
* calvingiles made their first contribution in https://github.com/keras-team/keras-hub/pull/1262
* tirthasheshpatel made their first contribution in https://github.com/keras-team/keras-hub/pull/1283
* pnacht made their first contribution in https://github.com/keras-team/keras-hub/pull/1305
* pranavvp16 made their first contribution in https://github.com/keras-team/keras-hub/pull/1291
* mbrhd made their first contribution in https://github.com/keras-team/keras-hub/pull/1364
* dependabot made their first contribution in https://github.com/keras-team/keras-hub/pull/1438
* cpsauer made their first contribution in https://github.com/keras-team/keras-hub/pull/1472
* TheCrazyT made their first contribution in https://github.com/keras-team/keras-hub/pull/1484
* shmishra99 made their first contribution in https://github.com/keras-team/keras-hub/pull/1490
* mykolaskrynnyk made their first contribution in https://github.com/keras-team/keras-hub/pull/1502
* RyanMullins made their first contribution in https://github.com/keras-team/keras-hub/pull/1521
* Wauplin made their first contribution in https://github.com/keras-team/keras-hub/pull/1510
* asmith26 made their first contribution in https://github.com/keras-team/keras-hub/pull/1528
* briango28 made their first contribution in https://github.com/keras-team/keras-hub/pull/1523
* VarunS1997 made their first contribution in https://github.com/keras-team/keras-hub/pull/1665
* martin-gorner made their first contribution in https://github.com/keras-team/keras-hub/pull/1669
* ariG23498 made their first contribution in https://github.com/keras-team/keras-hub/pull/1662
* apehex made their first contribution in https://github.com/keras-team/keras-hub/pull/1684
* cosmo3769 made their first contribution in https://github.com/keras-team/keras-hub/pull/1704
* DavidLandup0 made their first contribution in https://github.com/keras-team/keras-hub/pull/1894
* jeffcarp made their first contribution in https://github.com/keras-team/keras-hub/pull/1905
* wenxindongwork made their first contribution in https://github.com/keras-team/keras-hub/pull/1919
* anirudhr20 made their first contribution in https://github.com/keras-team/keras-hub/pull/1879
**Full Changelog**: https://github.com/keras-team/keras-hub/compare/v0.4.0...v0.17.0.dev0