GitHub topics: physics-informed-learning
SciML/QuasiMonteCarlo.jl
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)
Language: Julia - Size: 3.33 MB - Last synced at: about 7 hours ago - Pushed at: 4 days ago - Stars: 112 - Forks: 26
SciML/DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Language: Julia - Size: 288 MB - Last synced at: 4 days ago - Pushed at: 16 days ago - Stars: 303 - Forks: 251
SciML/sciml.ai
The SciML Scientific Machine Learning Software Organization Website
Language: CSS - Size: 12.2 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 59 - Forks: 51
fdaPDE/fdaPDE-cpp
A C++ library for physics-informed spatial and functional data analysis over complex domains.
Language: C++ - Size: 57.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 26 - Forks: 17
kimbente/ice_thickness
Physics-informed hard-constrained ice flux interpolations using divergence-free NNs & GPs
Language: Jupyter Notebook - Size: 164 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
Language: Python - Size: 27.2 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 3,289 - Forks: 839
SciML/DiffEqFlux.jl
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
Language: Julia - Size: 181 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 888 - Forks: 159
SmartTensors/NMFk.jl
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Language: HTML - Size: 84.6 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 15 - Forks: 1
YanMingxue/piKoopman_MHE
Source code of paper "Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling".
Language: Python - Size: 22.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
tensordiffeq/TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Language: Python - Size: 1.28 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 115 - Forks: 42
Pongpisit-Thanasutives/UBIC-test
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Language: Jupyter Notebook - Size: 66 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ctu-vras/monoforce
[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] MonoForce: Learnable Image-conditioned Physics Engine
Language: Jupyter Notebook - Size: 458 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 76 - Forks: 8
MartinuzziFrancesco/awesome-scientific-machine-learning
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Size: 202 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 53 - Forks: 12
SciML/SciMLTutorialsOutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Language: HTML - Size: 72.6 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 4
Pongpisit-Thanasutives/UBIC-play
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Language: Jupyter Notebook - Size: 47.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
Pongpisit-Thanasutives/UBIC
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 1
jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Language: Jupyter Notebook - Size: 79.1 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 111 - Forks: 20
L-A-Sandhu/Physics-Informed-Vectors-For-Wind-Speed-Prediction
Official Implementation of Integrating Physics-Informed Vectors for Improved Wind Speed Forecasting with Neural Networks
Language: Python - Size: 301 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0
skoohy/GPT-PINN
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Language: Python - Size: 3.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 85 - Forks: 18
Lemniscate-world/Time-as-Superfluid
Superfluidity is a state of matter that allows a fluid to flow without friction. By applying this concept to time, I propose a radical hypothesis: time could be a superfluid dimension. This theory, still largely speculative, aims to unify certain aspects of general relativity and quantum mechanics using analogies with quantum fluids.
Language: MATLAB - Size: 26.7 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
terencetaothucb/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 verification, battery management research and applications.
Language: MATLAB - Size: 21.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 31 - Forks: 0
SmartTensors/NTFk.jl
Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Language: Julia - Size: 9.14 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 1
gaoliyao/BayesianSindyAutoencoder
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal Society A.
Language: Jupyter Notebook - Size: 128 MB - Last synced at: 8 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 1
Pongpisit-Thanasutives/PDE-FIND Fork of snagcliffs/PDE-FIND
PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
Language: Gnuplot - Size: 1.09 GB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
JBris/physics_informed_neural_networks_tutorial
Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn
Language: Jupyter Notebook - Size: 142 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
SciML/TensorFlowDiffEq.jl 📦
Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)
Language: Julia - Size: 28.3 KB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 5
migduroli/pineurodes
PINEURODEs is a repository collecting CMS group research work on the application of neural (stochastic/ordinary) differential equations and physically-informed neural networks to model complex multiscale systems.
Language: Python - Size: 30.1 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
smrfeld/phys_dbd
Physics-based machine learning with dynamic Boltzmann distributions
Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: 22 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
SmartTensors/SmartTensorsTutorials.jl
Smart Tensors Tutorials
Language: Jupyter Notebook - Size: 90.4 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 5
SciML/PDERoadmap
A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning
Language: Jupyter Notebook - Size: 430 KB - Last synced at: 5 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 6
procf/RhINNs
Rheology-informed Machine Learning Projects
Language: Jupyter Notebook - Size: 6.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0
yeminghui/Inv_learning
Official imprementation of the paper "A general deep learning method for computing molecular parameters of viscoelastic constitutive model by solving an inverse problem"
Language: Python - Size: 40.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
levimcclenny/SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Language: Python - Size: 788 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 116 - Forks: 34
vLAR-group/NVFi
NVFi in PyTorch (NeurIPS 2023)
Language: Python - Size: 73 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 1
navidaftabi/rnn_paper
This repository is the implementation of the paper "A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems"
Language: Jupyter Notebook - Size: 339 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Panshark/PIRL-WIN
Source code for Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
Language: Python - Size: 225 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
pescap/horovodPINNs
Data-parallel PINNs with Horovod
Language: Jupyter Notebook - Size: 8.85 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
paulpuren/PhySR
Physics-informed deep super-resolution of spatiotemporal data
Language: Python - Size: 89.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 3
katiana22/TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
Language: Python - Size: 8.99 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 36 - Forks: 7
Raocp/PINN-elastodynamics
physics-informed neural network for elastodynamics problem
Language: Python - Size: 562 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 70 - Forks: 31
sm823zw/PINN-for-Poisson-Equation
This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks
Language: Jupyter Notebook - Size: 3.51 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
tomcdonald/Deep-LFM
Code for the NeurIPS 2021 paper "Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features"
Language: Python - Size: 557 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 2
coursekevin/weakformghnn
Weak For Generalized Hamiltonian Learning
Language: Jupyter Notebook - Size: 3.72 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2
paulpuren/PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Language: Python - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 3
ZINZINBIN/Physics-informed-ml-study
study code for physics informed machine learning and deep learning
Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2
paulpuren/equation-discovery
Physics-informed refinement learning for equation discovery
Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0