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end2end-federated-learning

A demo of end-to-end federated learning system.

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

excel2latex

The Excel add-in for creating LaTeX tables

expressgnn

factor-graph-neural-network

Factor Graph Neural Network

fashion-editing

Fashion editing on Pytorch (python)

flowscope

Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

gcnii

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gnn-logic

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

hit-courses

哈尔滨工业大学课程资料分享

hitcs

hitcs-open-courses

hmgnn

hsuantienlin_machinelearning

hyperdl-tutorial

深度学习教程整理 | 干货

interview_internal_reference

2020年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

machine-learning

Some slides, homeworks, labs and other materials about the class of machine learning.

machine-learning-in-action-python3

《机器学习实战》python3源码

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接