EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

基于Tensorflow2.3开发的NER模型，都是CRF范式，包含Bilstm(IDCNN)-CRF、Bert-Bilstm(IDCNN)-CRF、Bert-CRF，可微调预训练模型，可对抗学习，用于命名实体识别，配置后可直接运行。

本NER项目包含多个中文数据集，模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等，最后用TFServing进行模型部署，线上推理和线下推理。

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

EasyRL: An easy-to-use and comprehensive reinforcement learning package.

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

An Open-Source Package for Neural Relation Extraction (NRE)

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

PyTorch Coupled Multi-Layer Attentions

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms

A game theoretic approach to explain the output of any machine learning model.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

generates music (midi files) using a Tensorflow RNN

Train an LSTM to generate piano or violin/piano music.

使用TensorFlow做的自动生成音乐的程序，持续更新。

基于检索的任务型多轮对话

General-Purpose Neural Networks for Sentence Boundary Detection

使用BERT模型做文本分类；面向工业用途

Use BERT to train a classification model and deploy the model by tensorflow serving

a self expolre

✏️ 中文标注工具

brat rapid annotation tool (brat) - for all your textual annotation needs

Super easy library for BERT based NLP models

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

all kinds of text classification models and more with deep learning

Deep neural network framework for multi-label text classification

About Muti-Label Text Classification Based on Neural Network.

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.