Deeppavlov

* Improved MorphoTagger now supports 10 languages
* Yandex.Alice integration for agents with many skills
* New SQUAD model that supports "no answer" token
* Universal wrapper for `sklearn` estimators and vectorizers
* New universal interface for metrics calculation
* Many other improvements and bug fixes

* Integration with Microsoft Bot Framework
* Integration with Yandex.Alice voice assistant
* Support Windows platform
* Upgrade to TensorFlow 1.10
* New features for parameters cross-validation
* New eCommerce Bot
* New Siamese networks for paraphrase identification and ranking
* Many other small improvements and bug fixes

* FAQ Skill for Russian & English with a tutorial
* Improved Seq2Seq GO Bot: attention over knowledge base, encoder attention, embeddings instead of one-hots
* Pretrainded model for Seq2Seq GO Bot on driver dataset with BLEU=13.2
* Improved ODQA model with squad logits: f1 raised from 14 to 26
* Hashing tf-idf vectorizer component
* Text classifiers now compatible with ELMO embedder
* Improved documentation
* Bug fixes and minor improvements

* Fix bugs in [Morphological Tagging component](http://docs.deeppavlov.ai/en/master/components/morphotagger.html)
* Other minor improvements

* New [documentation](http://docs.deeppavlov.ai)
* A new [ELMO component](http://docs.deeppavlov.ai/en/master/apiref/models/embedders.html#deeppavlov.models.embedders.elmo_embedder.ELMoEmbedder)
* Improved [Morphological Tagging component](http://docs.deeppavlov.ai/en/master/components/morphotagger.html)
* CuDNN compatible layers for inference of NER and SQUAD components on CPU
* Bug fixes and minor improvements

- New `show_examples` option for train and evaluate modes
- Bug fixes and minor improvements