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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.

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

graph-u-nets

Pytorch implementation of Graph U-Nets (ICML19)

graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

graphcast

graphmae

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

homepage

latent-deeponet

Codes for implementing Latent DeepONet for learning operators in latent spaces.

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

neural-lam

Neural Weather Prediction for Limited Area Modeling

pyspod

A Python package for spectral proper orthogonal decomposition (SPOD).

pytorch-gnn-tutorial-odsc2021

Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021

seq2seq-data-generator

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.

weatherbench

A benchmark dataset for data-driven weather forecasting

zhouslab

readme

zhouslab.github.io

Webpage link