Pinned Repositories
AI4Dynamics-paper-with-illustration
This repository is an awesome-paper-collection with each paper accompanied with a highlighted figure
arco-era5
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
ClimateDiffuse
Diffusion for climate downscaling
deeponet-fno
DeepONet & FNO (with practical extensions)
dilation-CNN
Dilated Convolution for Semantic Image Segmentation
FourCastNet
Initial public release of code, data, and model weights for FourCastNet
gnn-model-explainer
gnn explainer
GNN-Tutorial
Graph Neural Network Tutorial
seq2seq-data-generator
ZhousLab.github.io
Webpage link
ZhousLab's Repositories
ZhousLab/AI4Dynamics-paper-with-illustration
This repository is an awesome-paper-collection with each paper accompanied with a highlighted figure
ZhousLab/seq2seq-data-generator
ZhousLab/arco-era5
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
ZhousLab/ClimateDiffuse
Diffusion for climate downscaling
ZhousLab/deeponet-fno
DeepONet & FNO (with practical extensions)
ZhousLab/dilation-CNN
Dilated Convolution for Semantic Image Segmentation
ZhousLab/FourCastNet
Initial public release of code, data, and model weights for FourCastNet
ZhousLab/gnn-model-explainer
gnn explainer
ZhousLab/GNN-Tutorial
Graph Neural Network Tutorial
ZhousLab/Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
ZhousLab/graph_weather
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
ZhousLab/ZhousLab.github.io
Webpage link
ZhousLab/graphcast
ZhousLab/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
ZhousLab/homepage
ZhousLab/latent-deeponet
Codes for implementing Latent DeepONet for learning operators in latent spaces.
ZhousLab/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
ZhousLab/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
ZhousLab/neural-lam
Neural Weather Prediction for Limited Area Modeling
ZhousLab/OpenSTL
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
ZhousLab/PySPOD
A Python package for spectral proper orthogonal decomposition (SPOD).
ZhousLab/pytorch-gnn-tutorial-odsc2021
Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
ZhousLab/Seq2Seq-Deep-Learning-Demo
This is a demo for deep learning for sequence modelling, with some discussions on the theoretical aspects with references to our work.
ZhousLab/VB-DeepONet-weather
ZhousLab/WeatherBench
A benchmark dataset for data-driven weather forecasting
ZhousLab/ZhousLab
readme