Victor-ZWB

coding-interview-university

A complete computer science study plan to become a software engineer.

interview_internal_reference

2023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。

paper-reading

深度学习经典、新论文逐段精读

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

mmcv

OpenMMLab Computer Vision Foundation

austin

消息推送平台🔥 推送下发【邮件】【短信】【微信服务号】【微信小程序】【企业微信】【钉钉】等消息类型。

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

Awesome-System-for-Machine-Learning

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

pytorch-tutorial

PyTorch深度学习快速入门教程（绝对通俗易懂！）

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

ustcthesis

LaTeX template for USTC thesis

powerful-gnns

How Powerful are Graph Neural Networks?

DropEdge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

GraphSAINT

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

soft-filter-pruning

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

gtrick

Bag of Tricks for Graph Neural Networks.

NM-sparsity

Slimming-pytorch

Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”

PTDNet

Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification

Unified-LTH-GNN

[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang

kesi

Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

ToST

[ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang

gpu-sparsert

gcn-ipdps19

Open source code for the GCN training algorithm published in IEEE/IPDPS'19

PyG-GNN-Test

使用PyTorch Geometric对GNN典型模型的各阶段执行时间进行测试和分析

pytorch-jet-classify

Pytorch implementation of the HLS4ML 3 Layer Jet Tagging model, including a standard Pytorch (float) and a Quantized (via Xilinx's Brevitas library) implementation. designed for use with the HLS4ML LHC Jet dataset (100 particles): https://zenodo.org/record/3602254

FastGraphATtention

fast graph attention neural network which toally differentfrom GAT for large scale graph.