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20 search results found

Deepxde ⭐ 2,135

A library for scientific machine learning and physics-informed learning

Diffeqflux.jl ⭐ 810

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Diffeqdocs.jl ⭐ 251

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

Quasimontecarlo.jl ⭐ 95

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)

Tensordiffeq ⭐ 60

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

Sciml.ai ⭐ 48

The SciML Scientific Machine Learning Software Organization Website

Datadrivendynsyst ⭐ 40

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Pinn Elastodynamics ⭐ 36

physics-informed neural network for elastodynamics problem

Tl Deeponet ⭐ 36

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

Gpt Pinn ⭐ 22

Generative Pre-Trained Physics-Informed Neural Networks Implementation

Physics-informed deep super-resolution of spatiotemporal data

Scimltutorialsoutput ⭐ 18

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Sa Pinns ⭐ 17

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

Awesome Scientific Machine Learning ⭐ 15

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

Fdapde Cpp ⭐ 14

A C++ library for physics-informed spatial and functional data analysis over complex domains.

Tensorflowdiffeq.jl ⭐ 14

Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)

NVFi in PyTorch (NeurIPS 2023)

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

Smarttensorstutorials.jl ⭐ 6

Smart Tensors Tutorials

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