physics-informed-learning topic
sciml.ai
The SciML Scientific Machine Learning Software Organization Website
TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
SciMLTutorialsOutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
awesome-scientific-machine-learning
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
NVFi
NVFi in PyTorch (NeurIPS 2023)
fdaPDE-cpp
A C++ library for physics-informed spatial and functional data analysis over complex domains.
PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
TensorFlowDiffEq.jl
Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)
TBSI-Sunwoda-Battery-Dataset
Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI) generate the TBSI Sunwoda Battery Dataset. We open-source this dataset to inspire more data-driven novel material verificat...