xrrain's Stars
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
Light-City/CPlusPlusThings
C++那些事
llvm/llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
mli/paper-reading
深度学习经典、新论文逐段精读
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
NVIDIA/open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
alibaba/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Oneflow-Inc/oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
mindspore-ai/mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
BBuf/tvm_mlir_learn
compiler learning resources collect.
tensorflow/mlir
"Multi-Level Intermediate Representation" Compiler Infrastructure
llvm/torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
rusty1s/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
pytorch/tvm
TVM integration into PyTorch
ggchivalrous/yiyin
一款照片水印添加工具
borgwang/tinynn
A lightweight deep learning library
lucasjinreal/thor
thor: C++ helper library, for deep learning purpose
alexfanjn/Graph-Neural-Networks-With-Heterophily
This repository contains the resources on graph neural network (GNN) considering heterophily.
GemsLab/H2GCN
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
lirundong/shtthesis
An unofficial LaTeX thesis template for ShanghaiTech University.
RecklessRonan/GloGNN
ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Yujun-Yan/Heterophily_and_oversmoothing
Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
GitEventhandler/H2GCN-PyTorch
A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs".
GemsLab/CPGNN
sajqavril/homophily-and-heterophily-in-gnn
Reading list of papers (basically are conference papers) about homophily and heterophily in GNNs.
alexfanjn/H2GCN_PyG
Reimplementation of NeurIPS 2020 paper "Beyond homophily in graph neural networks: Current limitations and effective designs" based on PyTorch and PyTorch Geometric (PyG).
JieZheng-ShanghaiTech/TMELand
A software tool for modeling and visualization of Waddington's epigenetic landscape based on dynamical models of gene regulatory network (GRN).
RecklessRonan/GNN-experiments