Deeppavlov

* [ODQA with scores: LogitRanker now returns a batch of best answers and their scores](http://docs.deeppavlov.ai/en/master/apiref/models/doc_retrieval.html#deeppavlov.models.doc_retrieval.logit_ranker.LogitRanker)
* [Experimental similarity matching skill with updated tutorial](https://github.com/deepmipt/DeepPavlov/blob/master/examples/tutorials/yandex_faq.ipynb)
* [Amazon EC2 deployment guide](http://docs.deeppavlov.ai/en/master/devguides/aws_ec2.html)
* Links to `RuSentiment` dataset were removed due to legal issues
* Minor bug fixes

* Fix go_bot compatibility with the previous release
* [Extended support for env variables in configs](
http://docs.deeppavlov.ai/en/master/intro/config_description.html#variables)

* Out-of-the-box Amazon Alexa integration for any skill/model
* New popularity ranking for ODQA
* New fine-tuned models for paraphrase identification
* Support for learning rate & momentum schedulers

* Bug fixes and minor improvements
* New ELMO configs
* Manage some settings with `env` variables

* Variables in configs and improved python API
* Trainable ELMo model with TF Hub wrapper and support for large datasets
* "Few shot" NER model
* New ODQA model with support for "no answer" response
* Model for sentiment analysis in Russian with ELMo embeddings
* Pretrained model for classification Informational vs. Conversational questions on Yahoo dataset
* eCommerce bot with tfidf retrieve
* Improved logging, including dialog logging for Agents, docs and many other improvements and bug fixes
* Also check out our docker images for popular models on [hub.docker.com](https://hub.docker.com/u/deeppavlov/)

* Human readable logs