Fuse-med-ml

What's Changed
* Lightweight mode in DatasetDefault which alllows good GPU utilization in large datasets (e.g. 100M samples) by YoelShoshan in https://github.com/BiomedSciAI/fuse-med-ml/pull/177
* classification/regression Heads by liamhazan in https://github.com/BiomedSciAI/fuse-med-ml/pull/164
* OpCond and knight sample ids by mosheraboh in https://github.com/BiomedSciAI/fuse-med-ml/pull/191


**Full Changelog**: https://github.com/BiomedSciAI/fuse-med-ml/compare/0.2.4...0.2.5

What's Changed
* Add supported python versions badge by SagiPolaczek in https://github.com/BiomedSciAI/fuse-med-ml/pull/183
* multimodal modifications by mosheraboh in https://github.com/BiomedSciAI/fuse-med-ml/pull/184


**Full Changelog**: https://github.com/BiomedSciAI/fuse-med-ml/compare/0.2.3...0.2.4

What's Changed
* fix the case in dataset_default when sample_ids are integers by simona-rc in https://github.com/BiomedSciAI/fuse-med-ml/pull/171
* fix (172): support cpu in knight example by agiova in https://github.com/BiomedSciAI/fuse-med-ml/pull/173
* Yoels by YoelShoshan in https://github.com/BiomedSciAI/fuse-med-ml/pull/174
* Small documentation fixes by SagiPolaczek in https://github.com/BiomedSciAI/fuse-med-ml/pull/175
* ML pipeline ("one click" cross validation) in fuse2 style by alex-golts in https://github.com/BiomedSciAI/fuse-med-ml/pull/154
* Support Python 3.10 by SagiPolaczek in https://github.com/BiomedSciAI/fuse-med-ml/pull/179
* Make ISIC multimodal again by SagiPolaczek in https://github.com/BiomedSciAI/fuse-med-ml/pull/168
* PyPi update - bump version and classifiers by SagiPolaczek in https://github.com/BiomedSciAI/fuse-med-ml/pull/182

New Contributors
* simona-rc made their first contribution in https://github.com/BiomedSciAI/fuse-med-ml/pull/171
* agiova made their first contribution in https://github.com/BiomedSciAI/fuse-med-ml/pull/173

**Full Changelog**: https://github.com/BiomedSciAI/fuse-med-ml/compare/0.2.2...0.2.3

What's Changed
* added remove_extension, changed default deepdiff to ignore nans, added proper implementation of keys() values() and items() to NDict, tried to also highlight more the faulting op in pipeline ops error by YoelShoshan in https://github.com/BiomedSciAI/fuse-med-ml/pull/152
* Knight test by liamhazan in https://github.com/BiomedSciAI/fuse-med-ml/pull/149
* override first backbone layers only when necessary by mosheraboh in https://github.com/BiomedSciAI/fuse-med-ml/pull/156
* 🌐 Some small general (handle URLError, Ops Debugs, etc) by SagiPolaczek in https://github.com/BiomedSciAI/fuse-med-ml/pull/157
* new wrapper by itaijj in https://github.com/BiomedSciAI/fuse-med-ml/pull/160
* Improve knight by liamhazan in https://github.com/BiomedSciAI/fuse-med-ml/pull/158
* move to BiomedSciAI org by mosheraboh in https://github.com/BiomedSciAI/fuse-med-ml/pull/166
* remove opencv version limitation by mosheraboh in https://github.com/BiomedSciAI/fuse-med-ml/pull/169


**Full Changelog**: https://github.com/BiomedSciAI/fuse-med-ml/compare/0.2.1...0.2.2

What's Changed
* remove managers - training is based on PyTorch lightning
* Added debug operations in data pipeline
* Added more imaging operations
* Model should return now batch_dict and not batch_dict["model"]
* Minor bugfixes

**Full Changelog**: https://github.com/IBM/fuse-med-ml/compare/0.2.0...0.2.1

Major revision that significantly improves flexibility and code sharing.
Read the new main README file for a detailed description.

0.1.12.fixed
* Enhance and fix examples
* minor bug fixes