lzhmarkk's Stars
marktext/marktext
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
rxhanson/Rectangle
Move and resize windows on macOS with keyboard shortcuts and snap areas
notable/notable
The Markdown-based note-taking app that doesn't suck.
Caldis/Mos
一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS
neo4j/neo4j
Graphs for Everyone
transmission/transmission
Official Transmission BitTorrent client repository
moonlight-stream/moonlight-qt
GameStream client for PCs (Windows, Mac, Linux, and Steam Link)
gao-sun/eul
🖥️ macOS status monitoring app written in SwiftUI.
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
bryandlee/animegan2-pytorch
PyTorch implementation of AnimeGANv2
qjfoidnh/BaiduPCS-Go
iikira/BaiduPCS-Go原版基础上集成了分享链接/秒传链接转存功能
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
zoubohao/DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
yysijie/st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
twitter-research/tgn
TGN: Temporal Graph Networks
1zilc/fishing-funds
基金,大盘,股票,虚拟货币状态栏显示小应用,基于Electron开发,支持MacOS,Windows,Linux客户端,数据源来自天天基金,蚂蚁基金,爱基金,腾讯证券等
msurtsukov/neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
cure-lab/SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
IBM/EvolveGCN
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
patrick-kidger/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
srijankr/jodie
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
wanhuaiyu/ASTGCN
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
tengkz/tensorflow_notes
tensorflow源码阅读笔记
amazon-science/tgl
rusty1s/pyg_autoscale
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
DIG-Beihang/RobustART
The first comprehensive Robustness investigation benchmark on large-scale dataset ImageNet regarding ARchitecture design and Training techniques towards diverse noises.
luckiezhou/DynamicTriad
Dynamic Network Embedding by Modeling Triadic Closure Process
facebookresearch/shaDow_GNN
NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures
zwt233/NAFS
ICML‘22 NAFS