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gcn

Implementation of Graph Convolutional Networks in TensorFlow

ggnn-for-babi-dataset.pytorch.1.0

A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt2-chinese

Chinese version of GPT2 training code, using BERT tokenizer.

gpt2-chitchat

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI**)

graph-neural-network-review

gsdmm-rust

GSDMM: Short text clustering (Rust implementation)

hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow

hncynic

Generate Hacker News Comments from Titles

jieba

结巴中文分词

kbqa-bert

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-textclassification

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

kg-2019

2019年百度的三元组抽取比赛，“科学空间队”源码

knowledgegraphembedding

learn2learn

PyTorch Meta-learning Framework for Researchers

lightnlp

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～

livebot

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)

longformer

Longformer: The Long-Document Transformer

ltp

Language Technology Platform

ltpextraction

基于ltp的简单评论观点抽取模块

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

maskedgan-pytorch

MaskGAN-PyTorch

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

model-lib

手机型号数据库

models

Models and examples built with TensorFlow

multihead_joint_entity_relation_extraction

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).