zhhhzhang

GraRep

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

a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

ABSA-PyTorch

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

ArticlePairMatching

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

awesome-bert

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

Bert-TextClassification

Implemention some Baseline Model upon Bert for Text Classification

code-of-learn-deep-learning-with-pytorch

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

d2l-pytorch

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

DANSER-WWW-19

Data-Science-Notes

数据科学的笔记以及资料搜集

DeepIE

DeepIE

deeplearningbook-chinese

Deep Learning Book Chinese Translation

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

Dive-into-DL-PyTorch

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

GEM

ggnn.pytorch

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

HAN

Heterogeneous Graph Neural Network

hConv-gPool-Net

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

KDD2019-MEIRec

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

Machine_Learning_Tutorials

Code, exercises and tutorials of my personal blog ! 📝

MixHop-and-N-GCN

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

MTBook

《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

nlp-tutorial-1

A list of NLP(Natural Language Processing) tutorials

PRML

PRML algorithms implemented in Python

pytorch-book

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

TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow

TensorFlow-Examples

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

torch-light

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

transformers

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

zhangzhihao.github.io

zhangzhihao homepage