Improvements

• Added Python 3.11 support (#1681).
• Added NER model with 37 entities (#1682).

Improvements

• Added model usage examples to Quick Start (#1669).

Bug Fixes and Other Changes

• Fixed documentation building (#1673).
• Fixed wrong link in documentation, platforms list and multitask model evaluation (#1668, #1676, #1672).

Major Features and Improvements

• Models documentation brought to a uniform format: 1. Introduction to the task. 2. Get started with the model. 3. Models list. 4. Use the model for prediction. 5. Customize the model. rst docs converted in ipynb format. (#1644).

Bug Fixes and Other Changes

• Updated requirements (#1662, #1665).
• Fixed error when using multiple GPUs for NER models (#1661).
• Fixed issue #1642 (#1661).

Breaking Changes

• Removed model_name parameter from TorchModel and its derived classes. Now model should be initialized in component's __init__ method (#1617).
• Removed deeppavlov.core.models.lr_scheduled_model (#1617).
• TorchModel.__init__ now has one mandatory parameter - model (#1617).

Major Features and Improvements

• Few-Shot Text Classification Model (#1630).
• GLUE and SuperGLUE models major update (#1647).
• New components and configs for syntax parser and morphotagger (#1641).
• Improved quality and reduce RAM consumption of ODQA models (#1635).
• Removed code duplication and excessive parameters from classes derived from TorchModel (#1617).

Bug Fixes and Other Changes

• Fixed #1247, #1262, #1522 (#1655, #1656).
• Added wheel to requirements (#1650).

Breaking Changes

• Removed RabbitMQ connector (#1631).
• Removed overrides decorator (#1631).

Major Features and Improvements

• Improvement of models for question answering over knowledge graphs (#1598).
• GLUE models update (#1645).

Bug Fixes and Other Changes

• Fix the Russian SuperGLUE certificates bug by loading the datasets from DeepPavlov servers (#1633).
• General requirements update (#1631, #1643).
• Fixed CRF save in torch_transformers_sequence_tagger (#1637).
• Fixes in tests (#1640).

Major Features and Improvements

• Multitask learning implementation (#1627).

Breaking Changes

Removed Models

• FAQ models, tfidf_vectorizer, tfidf_logreg_autofaq_psearch and cv_tfidf_autofaq (#1608)

Removed Components

• ru_tokenizer (#1608)

Major Features and Improvements

• Python 3.10 support (#1614).
• Few-shot classification example and few-shot sampling support added to basic_classification_iterator (#1608).

Other Changes

• pymorphy2 is replaced with spacy in entity_linker, ru_adj_to_noun and answer_types_extractor components (#1618).

Fixes

• Fixed kbqa_cq_ru on Python 3.8/3.9 (#1609)

Documentation

• Added python inference pipelines example (#1613).

Other changes

• Updated model files upload script (#1607).

Major Features and Improvements

• Added -i/--install CLI argument and install argument to deeppavlov.build_model, deeppavlov.evaluate_model, deeppavlov.train_model to install model requirements before interaction with model (#1603).

Bug Fixes and Other Changes

• Reduced library verbosity: redundant logging info messages replaced with debug ones. Set nltk.download to quiet mode. (#1601).
• Replaced docs/features/models/classifiers.rst with docs/features/models/classification.ipynb. Fixed minor typos in documentation, removed skill concept (#1600).
• Removed /examples from the README.md links (#1602).

Breaking Changes

• Changed riseapi mode response format (#1585).
• Removed support for TensorFlow v1.x: removed all TF-based components, removed TF mentions from documentation, default train class replaced with torch_trainer (#1574).
• TensorFlow-based models were replaced with the PyTorch-based ones, some models were renamed, various models and components were removed.
  • Replaced Models:
    • Entity Linking (#1516)
    • Context Question Answering (#1539)
    • NER (#1545)
    • Classifier models (#1565)
  • Removed Models
    • Classifiers, Doc Retrieval, Go-Bot, Neural Morphological Tagging, NER, ODQA, Ranking, Spelling Correction, Context Question Answering (#1523)
    • ASR, TTS (#1526)
    • ELMO (#1533)
    • Chinese Context Question Answering (#1534)
    • Ranking Models (#1537)
    • Go-Bot (#1544)
    • KBQA, Multitask BERT (#1560)
    • Intent Catcher (#1564)
    • Morpho/Syntax Models (#1573)
  • Removed Components
    • Connectors to: Telegram, Microsoft Bot Framework, Amazon Alexa, Yandex Alice (#1548)
    • Various components (#1563)
• Removed serialization mechanism

Major Features and Improvements

• Python 3.8/3.9 support (#1525).
• Added nested configs overwriting mechanism (#1561).
• Added case-agnostic distil NER for DREAM (#1570).
• Added DeepPavlov Topics Classifier model (#1584).
• Added Russian SuperGLUE models (#1577).
• Added external metrics support (#1546).
• Added Jupyter Notebook support to documentation (#1592).

Bug Fixes and Other Changes

• Requirements updated (#1578).
• Models deprecation mechanism (#1547).
• Uploaded DeepPavlov BERT models with MLM & NSP heads parameters (#1502).
• Fixed en_core_web_sm loading error (#1524)
• Fixed NER models table view (#1529)
• Removed special version of Transformers library for certain components (#1532)
• Fixed tests (#1543)
• Updated library output during model training (#1572)
• Fixed ConnectionResetError handling in simple_download (#1586)
• Minor fixes in KBQA models (#1591)
• Added iterations count and speed output during training (#1593)
• Fixed datasets version (#1596)