horovodPINNs

A library for scientific machine learning and physics-informed learning

Code accompanying my blog post: So, what is a physics-informed neural network?

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

A Physics Informed Neural Network made using PyTorch

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

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

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

A toolkit with data-driven pipelines for physics-informed machine learning.