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

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

DeepIE

A list of NLP(Natural Language Processing) tutorials

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

数据科学的笔记以及资料搜集

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

汉语自然语言处理视频教程-开源学习资料

Heterogeneous Graph Neural Network

Simple and ready-to-use tutorials for TensorFlow

Implemention some Baseline Model upon Bert for Text Classification

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

Code, exercises and tutorials of my personal blog ! 📝

Dive into Deep Learning (动手学深度学习) with PyTorch.

The basic distribution probability Tutorial for Deep Learning Researchers

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Deep Learning Book Chinese Translation

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

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

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions

This is code of book "Learn Deep Learning with PyTorch"

PRML algorithms implemented in Python

bert nlp papers, applications and github resources ， BERT 相关论文和 github 项目

TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)