Popular GitHub Repositories for Pde

A library for scientific machine learning and physics-informed learning

Learning in infinite dimension with neural operators.

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

This repository containts materials for End-to-End AI for Science

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022

Deep learning library for solving differential equations on top of PyTorch.

DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Efficient Differentiable n-d PDE solvers in JAX.

SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations

Official PyTorch implementation of "A Unified Framework for U-Net Design and Analysis" (NeurIPS 2023).

Neural Emulator Architectures in JAX.

Simple differentiable approximate ocean models built with JAX.

Solver linear Schr?dinger equation in 1D using Physics Informed Neural Network.

Uses Genetic Algorithm to make the T-Rex "Smart".

A workbook for investigating constrained neural networks in PyTorch

Physics-informed neural networks(PINN) use universal function approximators to integrate knowledge of physical laws described by PDEs into the learning process, addressing data scarcity in biological and engineering systems.