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physics-informed-learning

Here are 19 public repositories matching this topic...

lululxvi / deepxde

A library for scientific machine learning and physics-informed learning

deep-learning neural-network pytorch operator pde paddle tesnorflow pinn jax scientific-machine-learning multi-fidelity-data physics-informed-learning deeponet

Updated May 29, 2022
Python

SciML / DiffEqFlux.jl

Sponsor

Open

Turn an example from robotics and control into a tutorial?

4

ChrisRackauckas commented Jan 13, 2021

https://arxiv.org/abs/2012.06684

@samuela is there code to share that could become a tutorial? I think it would be good to make one.

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good first issue

Open

neural_ode_sciml example fails when Dense layer replaced by GRU

19

Open

Galerkin Neural ODEs

8

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SciML / DiffEqDocs.jl

Sponsor

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

ode dde differential-equations sde dae hacktoberfest neural-ode scientific-machine-learning sciml physics-informed-learning

Updated May 30, 2022
Julia

tensordiffeq / TensorDiffEq

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

distributed-systems tensorflow gpu neural-networks gpu-acceleration differential-equations gpu-computing multi-gpu collocation tensorflow2 multi-gpu-training scientific-machine-learning neural-pde pinns physics-informed-learning physics-informed-neural-networks

Updated Mar 1, 2022
Python

Raocp / PINN-elastodynamics

physics-informed neural network for elastodynamics problem

neural-network tensorflow elasticity physics-simulation physics-informed-learning

Updated Jan 20, 2022
Python

SciML / sciml.ai

Sponsor

The SciML Scientific Machine Learning Software Organization Website

machine-learning julia julia-language ode dde differential-equations sde dae julialang franklin neural-ode scientific-machine-learning sciml physics-informed-learning

Updated May 23, 2022
CSS

levimcclenny / SA-PINNs

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

deep-learning neural-network tensorflow scientific-computing neural-networks convolutional-neural-networks pdes sciml pinns physics-informed-learning adaptive-pinns stiff-pdes

Updated Oct 12, 2021
Python

SciML / QuasiMonteCarlo.jl

Sponsor

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)

parameter-estimation quasi-monte-carlo scientific-machine-learning sciml physics-informed-learning

Updated Jan 6, 2022
Julia

SciML / TensorFlowDiffEq.jl

Sponsor

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

python tensorflow julia differential-equations scientific-machine-learning sciml physics-informed-learning

Updated Nov 30, 2020
Julia

SciML / PDERoadmap

Sponsor

A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning

scientific-machine-learning sciml physics-informed-learning

Updated Nov 21, 2019
Jupyter Notebook

paulpuren / PhyCRNet

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

simulation partial-differential-equations autoregressive convlstm encoder-decoder-architecture physics-informed-learning residual-connections

Updated Dec 24, 2021
Python

paulpuren / PhySR

Physics-informed deep super-resolution of spatiotemporal data

partial-differential-equations spatiotemporal super-resolution convlstm scientific-machine-learning physics-informed-learning

Updated Jan 30, 2022
Python

coursekevin / weakformghnn

Weak For Generalized Hamiltonian Learning

time-series physics-informed-learning

Updated Feb 13, 2021
Jupyter Notebook

SmartTensors / NMFk.jl

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

machine-learning julia feature-extraction scientific-computing blind-source-separation unsupervised-machine-learning scientific-machine-learning source-identification physics-informed-learning

Updated May 30, 2022
HTML

SmartTensors / SmartTensorsTutorials.jl

Smart Tensors Tutorials

machine-learning julia julia-language tutorials feature-selection scientific-computing blind-source-separation scientific-machine-learning source-identification physics-informed-learning

Updated May 29, 2022
Jupyter Notebook

Deep-LFM

tomcdonald / Deep-LFM

Deep Latent Force Models

deep-gaussian-processes physics-informed-learning

Updated May 25, 2022
Python

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

Updated May 27, 2022
Julia

paulpuren / equation-discovery

Physics-informed refinement learning for equation discovery

pde sparse-regression scientific-machine-learning physics-informed-learning equation-discovery

Updated Jan 27, 2022

phys_dbd

smrfeld / phys_dbd

Physics-based machine learning with dynamic Boltzmann distributions

machine-learning tensorflow physics reaction-diffusion physics-informed-learning physics-informed-neural-networks physics-informed-ml

Updated Jan 11, 2022
Jupyter Notebook

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