A curated list of awesome ML frameworks and text embeddings.

• HanLP - Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification via one unified interface. https://bbs.hankcs.com/

• NeuronBlocks - NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego.

• artificial-adversary - Tool to generate adversarial text examples and test machine learning models against them.

• Transformers - Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. https://huggingface.co/transformers

• bert-as-service - Mapping a variable-length sentence to a fixed-length vector using BERT model. https://bert-as-service.readthedocs.io

• Kashgari - Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

• DELTA - DELTA is a deep learning based natural language and speech processing platform. https://delta-didi.readthedocs.io/

• EventForecast - Time series prediction and text analysis using Keras LSTM, plus clustering, association rules mining.

• Snips NLU - Snips Python library to extract meaning from text. https://snips-nlu.readthedocs.io

• IKY - A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

• lazynlp - Library to scrape and clean web pages to create massive datasets.

• Scattertext - Beautiful visualizations of how language differs among document types.

• MeTA: ModErn Text Analysis - A Modern C++ Data Sciences Toolkit. https://meta-toolkit.org

• Rhino - On-device speech-to-intent engine powered by deep learning. https://picovoice.ai/

• Awesome Sentiment Analysis - Repository with all what is necessary for sentiment analysis and related areas

• practicalAI - A practical approach to machine learning to enable everyone to learn, explore and build. https://practicalai.me