QinYfangfang

PKUAutoElective_updated

北大选课网补退选阶段自动选课小工具（2021Autumn）

LibRecommender

Versatile End-to-End Recommender System

Become-A-Full-Stack-Web-Developer

Free resources for learning Full Stack Web Development

spellbook-of-modern-webdev

A Big Picture, Thesaurus, and Taxonomy of Modern JavaScript Web Development

developer-roadmap-zh-CN

在 2020 年成为 Web 开发工程师之路线图 | Roadmap to becoming a web developer in 2020

NoMoreHurt

NGCF-PyTorch

PyTorch Implementation for Neural Graph Collaborative Filtering

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

GCN-PyTorch

Graph Convolution Network for PyTorch

gcn

Implementation of Graph Convolutional Networks in TensorFlow

GraphsFewShot

Few Shot Learning on Graphs

tf_geometric

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

GNNPapers

Must-read papers on graph neural networks (GNN)

PKUAutoElective

北大选课网补退选阶段自动选课小工具

elective-dataset-2021spring

某学校选课系统GIF验证码数据集 + Baseline模型 + 上下游相关工具

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

ganhacks

starter from "How to Train a GAN?" at NIPS2016

InfoGraph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

seed

燕园是一片神奇的土地，到处都是希望的种子。哪里有雨露，哪里就会生根发芽。

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

browser-testbench

史诗（误）

Record

NRI

Neural relational inference for interacting systems - pytorch

PKUNoRun

I just don't want to run.

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

pygcn

Graph Convolutional Networks in PyTorch

Result-Visualization-of-Graph-Convolutional-Networks-in-PyTorch

Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

GraphNeuralNetwork

《深入浅出图神经网络：GNN原理解析》配套代码