physics-informed-learning topic

A library for scientific machine learning and physics-informed learning

lululxvi

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

SciML

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

SciML

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

tensordiffeq

physics-informed neural network for elastodynamics problem

Raocp

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

levimcclenny

A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning

SciML

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

SciML

Generative Pre-Trained Physics-Informed Neural Networks Implementation

skoohy

Physics-informed deep super-resolution of spatiotemporal data

paulpuren