RoBERTa中文预训练模型: RoBERTa for Chinese

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

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Multi-Task Deep Neural Networks for Natural Language Understanding

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，Seq2Seq_Attention，BERT，MacBERT，ELECTRA，ERNIE，Transformer等模型实现，开箱即用。

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Sentence transformers models for SpaCy

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

State of the Art Natural Language Processing

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

Super easy library for BERT based NLP models

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

基于bert4keras的GLUE基准代码

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks