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adaptivefourierneuraloperator

aibedo

DARPA AIE (AI-Assisted Climate Tipping Point): AIBEDO (A hybrid AI framework to capture the effects of cloud properties on global circulation and regional climate patterns)

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

cfd-gcn

clcrn

This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeponet

Learning nonlinear operators via DeepONet

deeponet-fno

DeepONet & FNO (with practical extensions)

deepxde

A library for scientific machine learning and physics-informed learning

fourcastnet

A global data-driven high-resolution weather model

fourcastnet-1

Initial public release of code, data, and model weights for FourCastNet

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

fourierflow

[ML4PS @ NeurIPS 2021] Factorized Fourier Neural Operators

geo-fno

Geometry-Aware Fourier Neural Operator (Geo-FNO)

gfdl_atmos_cubed_sphere

The GFDL atmos_cubed_sphere dynamical core code

gmls-nets

PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential operators, PDEs, and other features.

gpinn

gPINN: Gradient-enhanced physics-informed neural networks

graph-pde

Using graph network to solve PDEs

hal-physics-informed-ai-tutorial

idrlnet

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

kth_simson_changes

Modifications to KTH flow solver Simson

meshgraphnets

Rewrite deepmind/meshgraphnets into pytorch

mgn

MeshGraphNets (MGN)

mindscience

mp-neural-pde-solvers

Repo to the paper "Message Passing Neural PDE Solvers"

mscalednn

mwt-operator

Multiwavelets-based operator model

neuraloperators.jl

Operator learning in Julia.

paddlescience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

parallel-gpu-workshop-juliacon21

Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop