physics-informed-learning

There are 6 repositories under physics-informed-learning topic.

lululxvi / deepxde
A library for scientific machine learning and physics-informed learning
neural-network deep-learning scientific-machine-learning pinn multi-fidelity-data operator pytorch physics-informed-learning jax deeponet paddle pde tensorflow
Language:Python 2321
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
neural-ode neural-sde neural-pde neural-dde neural-differential-equations stiff-ode ordinary-differential-equations stochastic-differential-equations delay-differential-equations partial-differential-equations neural-networks differentialequations differential-equations scientific-ml scientific-ai neural-jump-diffusions neural-sdes scientific-machine-learning pinn physics-informed-learning
Language:Julia 836
SciML / DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
differential-equations sciml scientific-machine-learning physics-informed-learning ode sde dae dde neural-ode hacktoberfest
Language:Julia 260
levimcclenny / SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
adaptive-pinns deep-learning neural-network neural-networks pdes physics-informed-learning pinns scientific-computing sciml stiff-pdes tensorflow
Language:Python 131
tensordiffeq / TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
pinns scientific-machine-learning tensorflow tensorflow2 physics-informed-learning physics-informed-neural-networks gpu gpu-computing gpu-acceleration multi-gpu multi-gpu-training neural-networks differential-equations neural-pde collocation distributed-systems
Language:Python 104
Raocp / PINN-elastodynamics
physics-informed neural network for elastodynamics problem
elasticity neural-network physics-informed-learning physics-simulation tensorflow
Language:Python 97
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)
sciml scientific-machine-learning physics-informed-learning quasi-monte-carlo parameter-estimation julia
Language:Julia 97
jbramburger / DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
data-science dynamical-systems dynamic-mode-decomposition physics-informed-neural-networks machine-learning sindy-algorithm sindy autoencoder-neural-network autoencoder autoencoders conservation-laws extended-dynamic-mode-decomposition poincare-map stroboscopic-map time-delay forecasting kernel-methods neural-network universal-approximation-theorem physics-informed-learning
Language:Jupyter Notebook 61
katiana22 / TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
deeponet hilbert-spaces multi-task-learning operator-learning partial-differential-equations regression transfer-learning physics-informed-learning
Language:Python 50
SciML / sciml.ai
The SciML Scientific Machine Learning Software Organization Website
dae dde differential-equations franklin julia julia-language julialang machine-learning neural-ode ode physics-informed-learning scientific-machine-learning sciml sde
Language:CSS 49
skoohy / GPT-PINN
Generative Pre-Trained Physics-Informed Neural Networks Implementation
deep-learning machine-learning neural-network pdes physics-informed-learning physics-informed-neural-networks pinn pytorch tensorflow allen-cahn burgers-equation differential-equations klein-gordon-equation partial-differential-equations neural-networks computational-science mathematics numerical-methods python gpt
Language:Python 33
paulpuren / PhySR
Physics-informed deep super-resolution of spatiotemporal data
physics-informed-learning super-resolution spatiotemporal scientific-machine-learning convlstm partial-differential-equations
Language:Python 25
vLAR-group / NVFi
NVFi in PyTorch (NeurIPS 2023)
3d 3d-reconstruction 3d-rendering neurips neurips-2023 physics-3d physics-informed-learning physics-informed-neural-networks velocity 3d-physics-learning 3d-velocity
Language:Python 24
SciML / SciMLTutorialsOutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
differential-equations julia neural-differential-equations neural-ode ode physics-informed-learning physics-informed-ml physics-informed-neural-networks scientific-machine-learning sciml
Language:HTML 20
MartinuzziFrancesco / awesome-scientific-machine-learning
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
differential-equations neural-differential-equations scientific-machine-learning sciml physics-informed-learning physics-informed-neural-networks pinn
19
fdaPDE / fdaPDE-cpp
A C++ library for physics-informed spatial and functional data analysis over complex domains.
density-estimation functional-data-analysis nonparametric-statistics smoothing spatial-data-analysis physics-informed-learning
Language:C++ 17
paulpuren / PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
partial-differential-equations physics-informed-learning encoder-decoder-architecture autoregressive residual-connections convlstm simulation
Language:Python 17
SciML / PDERoadmap
A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning
sciml scientific-machine-learning physics-informed-learning
Language:Jupyter Notebook 17
SciML / TensorFlowDiffEq.jl
Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)
differential-equations sciml scientific-machine-learning physics-informed-learning tensorflow python julia
Language:Julia 13
SmartTensors / NMFk.jl
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
machine-learning feature-extraction blind-source-separation unsupervised-machine-learning source-identification physics-informed-learning julia scientific-machine-learning scientific-computing
Language:HTML 11
coursekevin / weakformghnn
Accompanying code for "Weak form generalized Hamiltonian learning"
physics-informed-learning time-series
Language:Jupyter Notebook 8
procf / RhINNs
Rheology-informed Machine Learning Projects
neural-networks neural-operators physics-informed-learning physics-informed-neural-networks scientific-machine-learning
Language:Jupyter Notebook 8
SmartTensors / SmartTensorsTutorials.jl
Smart Tensors Tutorials
machine-learning julia tutorials feature-selection blind-source-separation julia-language scientific-computing scientific-machine-learning source-identification physics-informed-learning
Language:Jupyter Notebook 7
Deep-LFM
tomcdonald / Deep-LFM
Code for the NeurIPS 2021 paper "Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features"
deep-gaussian-processes physics-informed-learning
Language:Python 6
sm823zw / PINN-for-Poisson-Equation
This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks
model-ensemble physics-informed-learning physics-informed-ml physics-informed-neural-networks pinn pytorch
Language:Jupyter Notebook 5
SmartTensors / NTFk.jl
Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
machine-learning tensor-factorization unsupervised-machine-learning physics-informed-learning
Language:Julia 5
Panshark / PIRL-WIN
Source code for Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
digital-twins indoor-navigation physics-informed-learning reinforcement-learning robotics wireless
Language:Python 4
Pongpisit-Thanasutives / UBIC
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
bayesian-information-criterion model-discovery model-selection partial-differential-equations physics-informed-learning system-identification uncertainty-quantification information-criterion
Language:Jupyter Notebook 4
ZINZINBIN / Physics-informed-ml-study
study code for physics informed machine learning and deep learning
deep-learning machine-learning physics physics-informed-learning physics-informed-neural-networks
Language:Jupyter Notebook 4
Axik0 / NSE
Navier-Stokes oil dynamics in a rectangular 3D tank, physics-informed neural network approach
fluid-dynamics navier-stokes-equations physics-informed-learning physics-informed-neural-networks pinn pytorch reservoir-simulation
Language:Jupyter Notebook 2
JBris / physics_informed_neural_networks_tutorial
Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn
physics-informed physics-informed-learning physics-informed-ml physics-informed-neural-network physics-informed-neural-networks physics-model pinns derivatives ode ode-model
Language:Jupyter Notebook 2
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"
cyber-physical-systems cybersecurity deep-learning industrial-control-systems physics-informed-learning
Language:Jupyter Notebook 2
paulpuren / equation-discovery
Physics-informed refinement learning for equation discovery
scientific-machine-learning pde sparse-regression equation-discovery physics-informed-learning
2
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"
deep-learning physics-informed-learning pytorch
Language:Python 2
pescap / horovodPINNs
Data-parallel PINNs with Horovod
physics-informed-learning physics-informed-neural-networks pinns
Language:Jupyter Notebook 1
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.
battery-degradation battery-management-system electric-vehicles fast-charging machine-learning physics-informed-learning state-of-health intepretable-machine-learning knowledge-discovery ai4science
Language:MATLAB 1

physics-informed-learning

lululxvi / deepxde

SciML / DiffEqFlux.jl

SciML / DiffEqDocs.jl

levimcclenny / SA-PINNs

tensordiffeq / TensorDiffEq

Raocp / PINN-elastodynamics

SciML / QuasiMonteCarlo.jl

jbramburger / DataDrivenDynSyst

katiana22 / TL-DeepONet

SciML / sciml.ai

skoohy / GPT-PINN

paulpuren / PhySR

vLAR-group / NVFi

SciML / SciMLTutorialsOutput

MartinuzziFrancesco / awesome-scientific-machine-learning

fdaPDE / fdaPDE-cpp

paulpuren / PhyCRNet

SciML / PDERoadmap

SciML / TensorFlowDiffEq.jl

SmartTensors / NMFk.jl

coursekevin / weakformghnn

procf / RhINNs

SmartTensors / SmartTensorsTutorials.jl

tomcdonald / Deep-LFM

sm823zw / PINN-for-Poisson-Equation

SmartTensors / NTFk.jl

Panshark / PIRL-WIN

Pongpisit-Thanasutives / UBIC

ZINZINBIN / Physics-informed-ml-study

Axik0 / NSE

JBris / physics_informed_neural_networks_tutorial

navidaftabi / rnn_paper

paulpuren / equation-discovery

yeminghui / Inv_learning

pescap / horovodPINNs

terencetaothucb / TBSI-Sunwoda-Battery-Dataset