​SpaCy library is pretty awesome.

Links

• ​Adding voice control to your projects​

• ​Increasing data science productivity; founders of spaCy & Prodigy​

• ​Course materials for "Natural Language" course​

• ​NLP progress - Track the progress in Natural Language Processing (NLP) and give an overview of the state-of-the-art across the most common NLP tasks and their corresponding datasets.

• ​Natural - General natural language facilities for Node.

• ​YSDA Natural Language Processing course (2018)​

• ​PyText - Natural language modeling framework based on PyTorch.

• ​HN: Facebook open-sources a speech-recognition system and a machine learning library (2018)​

• ​FlashText - Extract Keywords from sentence or Replace keywords in sentences.

• ​BERT PyTorch implementation​

• ​LASER Language-Agnostic SEntence Representations - Library to calculate and use multilingual sentence embeddings.

• ​Project DeepSpeech - Open source Speech-To-Text engine, using a model trained by machine learning techniques, based on Baidu's Deep Speech research paper.

• ​StanfordNLP - Python NLP Library for Many Human Languages.

• ​nlp-tutorial - Tutorial for who is studying NLP(Natural Language Processing) using TensorFlow and PyTorch.

• ​Better Language Models and Their Implications (2019)​

• ​gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners".

• ​Lingvo - Framework for building neural networks in Tensorflow, particularly sequence models.

• ​Fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

• ​Stanford CS224N: NLP with Deep Learning (2019) - Course page. (HN)

• ​Advanced NLP with spaCy: A free online course​