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A library for scientific machine learning and physics-informed learning
Created
2019-02-08
1,207 commits to master branch, last one 10 days ago
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
pinn
stiff-ode
neural-dde
neural-ode
neural-pde
neural-sde
neural-sdes
scientific-ai
scientific-ml
neural-networks
differentialequations
differential-equations
neural-jump-diffusions
physics-informed-learning
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-12-26
1,923 commits to master branch, last one 3 days ago
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Created
2016-11-01
2,414 commits to master branch, last one 12 days ago
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Created
2020-09-14
41 commits to master branch, last one 3 years ago
physics-informed neural network for elastodynamics problem
Created
2020-04-16
29 commits to master branch, last one 2 years ago
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Created
2020-10-03
309 commits to main branch, last one 2 years ago
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)
Created
2019-12-05
272 commits to master branch, last one 2 days ago
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
sindy
time-delay
autoencoder
forecasting
autoencoders
data-science
poincare-map
kernel-methods
neural-network
sindy-algorithm
machine-learning
stroboscopic-map
conservation-laws
dynamical-systems
physics-informed-learning
autoencoder-neural-network
dynamic-mode-decomposition
universal-approximation-theorem
physics-informed-neural-networks
extended-dynamic-mode-decomposition
Created
2022-03-09
144 commits to main branch, last one 3 months ago
Generative Pre-Trained Physics-Informed Neural Networks Implementation
gpt
pdes
pinn
python
pytorch
allen-cahn
tensorflow
mathematics
deep-learning
neural-network
neural-networks
burgers-equation
machine-learning
numerical-methods
computational-science
klein-gordon-equation
differential-equations
physics-informed-learning
partial-differential-equations
physics-informed-neural-networks
Created
2023-03-25
183 commits to main branch, last one 4 months ago
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
Created
2022-05-13
105 commits to main branch, last one about a year ago
The SciML Scientific Machine Learning Software Organization Website
Created
2016-11-26
869 commits to master branch, last one 11 days ago
NVFi in PyTorch (NeurIPS 2023)
Created
2023-12-11
3 commits to main branch, last one 10 months ago
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Created
2022-11-10
45 commits to main branch, last one 11 months ago
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...
Created
2024-02-27
50 commits to main branch, last one 5 months ago