rzj-1997's repositories
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
SparrowRecSys
A Deep Learning Recommender System
team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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）
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
pygcn
Graph Convolutional Networks in PyTorch
team-learning
主要展示Datawhale的组队学习计划。
testnet
some test by rzj
graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.