HeZhang1994
Make everything as simple as possible, but not simpler.
University of ExeterExeter, United Kingdom
HeZhang1994's Stars
ytdl-org/youtube-dl
Command-line program to download videos from YouTube.com and other video sites
geekan/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
qgis/QGIS
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
tkipf/pygcn
Graph Convolutional Networks in PyTorch
Diego999/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
JunMa11/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
sunlabuiuc/PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
HazyResearch/hgcn
Hyperbolic Graph Convolutional Networks in PyTorch.
DaoSword/Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
HongyangGao/Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
inyeoplee77/SAGPool
Official PyTorch Implementation of SAGPool - ICML 2019
MilesCranmer/awesome-ml-demos
Curated list of interactive ML demos
qitianwu/DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
TorchSpatiotemporal/tsl
tsl: a PyTorch library for processing spatiotemporal data.
mushroom-x/K210_Tutorial
K210基础入门教程 edit by Kyle阿凯
Graph-Machine-Learning-Group/grin
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
BaratiLab/Diffusion-based-Fluid-Super-resolution
PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".
Han-JD/GRU-D
inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
UCSB-NLP-Chang/Diffusion-SpaceTime-Attn
Official implementation of the paper "Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis"
limaosen0/GXN
Graph Cross Network
Friger/HighAir
The source codes for HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
cszhangzhen/MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
andreacini/sparse-graph-learning
Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)
liu6zijian/simplified-gcn-model
We give simplified gcn and gat models
HeZhang1994/GMatch4py
A graph matching library for Python
Alialiujia/loveme
pxiuqin/mvts-imputation-tsl
Multivariate Time Series Imputation by Graph Neural Networks and other methods