physics-informed-neural-networks topic

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

NeuroDiffGym

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

tensordiffeq

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

idrl-lab

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

killah-t-cell

Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networks (PINNs) in PyTorch.

akapet00

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

ucl-bug

A machine learning boosted parallel-in-time differential equation solver framework.

ViktorC

Physics-Informed Neural networks for Advanced modeling

mathLab

PDEBench: An Extensive Benchmark for Scientific Machine Learning

pdebench

Example problems in Physics informed neural network in JAX

ASEM000