🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Google AI 2018 BERT pytorch implementation

💥Fast State-of-the-Art Tokenizers optimized for Research and Production

Lingvo

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Library to scrape and clean web pages to create massive datasets.

LSTM and QRNN Language Model Toolkit for PyTorch

A curated list of pretrained sentence and word embedding models

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

State of the Art Natural Language Processing

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

curated collection of papers for the nlp practitioner 📖👩‍🔬

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

🛸 spaCy pipelines for pre-trained BERT, XLNet and GPT-2

Empower Sequence Labeling with Task-Aware Language Model

基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

spaGO is a beautiful and maintainable machine learning library written in Go designed to support relevant neural network architectures in natural language processing tasks

🔍 Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

📖 Some language modeling tools for Keras

C++ Implementation of PyTorch Tutorial for Everyone

A Python wrapper for Kaldi

My Reading Lists of Deep Learning and Natural Language Processing

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

A Lite Bert For Self-Supervised Learning Language Representations

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.