Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: physics-informed-neural-networks
adil-thami/PINNs
A repository to learn about Physics-informed Neural Networks!
Language: Jupyter Notebook - Size: 2.17 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 0 - Forks: 0
rezaakb/pinns-torch
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Language: Python - Size: 51.9 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 54 - Forks: 14
rezaakb/pinns-tf2
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
Language: Python - Size: 771 KB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 48 - Forks: 17
314arhaam/heat-pinn
A Physics-Informed Neural Network to solve 2D steady-state heat equation.
Language: Jupyter Notebook - Size: 2.14 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 79 - Forks: 9
mia-jinns/jinns
Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repository of jinns (development happens on Gitlab)
Language: Jupyter Notebook - Size: 50.7 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 4 - Forks: 5
dortiz5/ihealth-pinns-workshop
iHealth workshop about applications of physics-informed neural networks (PINNs)
Language: Jupyter Notebook - Size: 14.7 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0
AI4SIM/model-collection
This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.
Language: Jupyter Notebook - Size: 590 KB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 15 - Forks: 5
procf/procf.github.io
The Rheoinformatic lab website
Language: SCSS - Size: 185 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 0 - Forks: 0
nicoguaro/pinns_mapi-3
Repositorio con el material para el taller sobre PINNs en MAPI-3 2024
Language: Jupyter Notebook - Size: 134 KB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 0 - Forks: 0
mathLab/PINA
Physics-Informed Neural networks for Advanced modeling
Language: Python - Size: 35.7 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 268 - Forks: 54
skoohy/GPT-PINN
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Language: Python - Size: 3.1 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 38 - Forks: 11
ISSMteam/PINNICLE
A general PINN framework for solving ice sheet modeling
Language: Python - Size: 4.55 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 6 - Forks: 2
MartinuzziFrancesco/awesome-scientific-machine-learning
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Size: 202 KB - Last synced: 5 days ago - Pushed: 5 months ago - Stars: 23 - Forks: 4
NeuroDiffGym/neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Language: Python - Size: 138 MB - Last synced: 4 days ago - Pushed: 10 days ago - Stars: 638 - Forks: 86
CarachinoAlessio/ML-techniques-for-State-Estimation
This repo contains the code of my Master's Thesis. Specifically, it consists in exploring different techniques(Explanable AI, Physics Informed NN, ...) to perform State Estimation
Language: Jupyter Notebook - Size: 142 MB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 1 - Forks: 0
joseph-nagel/physics-informed-nn
Physics-informed neural nets with PyTorch
Language: Jupyter Notebook - Size: 33.2 KB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 1 - Forks: 0
cmgcds/fastvpinns
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
Language: Python - Size: 14.8 MB - Last synced: 8 days ago - Pushed: 9 days ago - Stars: 8 - Forks: 4
DavidStotko/Physics-guided-Shape-from-Template
Code of the CVPR 2024 paper "Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models"
Language: Python - Size: 48 MB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 0 - Forks: 0
pdebench/PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Language: Python - Size: 1.13 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 631 - Forks: 78
praksharma/Stiff-PDEs-and-Physics-Informed-Neural-Networks
A review paper on PINNs.
Language: Jupyter Notebook - Size: 472 MB - Last synced: 11 days ago - Pushed: over 1 year ago - Stars: 6 - Forks: 2
devnithw/PINN
A Physics Informed Neural Network made using PyTorch
Language: Jupyter Notebook - Size: 720 KB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 0 - Forks: 0
IBM/simulai
A toolkit with data-driven pipelines for physics-informed machine learning.
Language: Python - Size: 36.7 MB - Last synced: 15 days ago - Pushed: 2 months ago - Stars: 147 - Forks: 23
mushrafi88/Physics-Informed-Neural-Networks-for-Quantum-Dynamics
A repo to learn and curate PINN
Language: Jupyter Notebook - Size: 390 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 2 - Forks: 0
jungangc/PICNN-twophaseporousflow
Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls
Size: 0 Bytes - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 3 - Forks: 0
woooojng/PINN
Physics-informed neural networks(PINN) use universal function approximators to integrate knowledge of physical laws described by PDEs into the learning process, addressing data scarcity in biological and engineering systems.
Language: Jupyter Notebook - Size: 9 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 0 - Forks: 0
nimahsn/pinns_tf2
Yet another PINN implementation
Language: Jupyter Notebook - Size: 5.62 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 13 - Forks: 1
openhackathons-org/End-to-End-AI-for-Science
This repository containts materials for End-to-End AI for Science
Language: Jupyter Notebook - Size: 69.8 MB - Last synced: 21 days ago - Pushed: 3 months ago - Stars: 65 - Forks: 19
jaeminoh/PhysicsInformedShellStructures-JAX
(partial, unofficial) JAX-implementation for "Physics-informed Neural Networks for shell structures".
Language: Python - Size: 2.81 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 0 - Forks: 0
JohnCSu/torch_DE
A pytorch framework for solving PDEs via Physics Informed Neural Networks (PINNs)!
Language: Jupyter Notebook - Size: 10.2 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 0 - Forks: 0
lanl/hippynn
python library for atomistic machine learning
Language: Python - Size: 6.07 MB - Last synced: 26 days ago - Pushed: 26 days ago - Stars: 53 - Forks: 21
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: 17 days ago - Pushed: about 2 years ago - Stars: 105 - Forks: 36
JoleneArt/Machine-Learning-Data-Science-Porfolio
My projects that involve and use machine learning, data science and deep learning techniques with solve or observe a specfic use case
Language: Python - Size: 48.8 KB - Last synced: 27 days ago - Pushed: 27 days ago - Stars: 1 - Forks: 0
leiterrl/porch
A PyTorch library for Physics-Informed Neural Networks (PINNs)
Language: Python - Size: 295 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 9 - Forks: 0
NREL/PINNSTRIPES
Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems
Language: Python - Size: 2.06 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 7 - Forks: 0
GaneshShivalingappa/Parametric-NN-Models
Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
Language: Python - Size: 174 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 3 - Forks: 0
FilippoMB/Physics-Informed-Neural-Networks-tutorial
Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch
Language: Jupyter Notebook - Size: 3.07 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 7 - Forks: 3
dmitry-kabanov/hhpinn
Repository for the research project "Helmholtz--Hodge physics-informed neural networks".
Language: Jupyter Notebook - Size: 1.32 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 1 - Forks: 1
ViktorC/PararealML
A machine learning boosted parallel-in-time differential equation solver framework.
Language: Python - Size: 54.2 MB - Last synced: about 1 month ago - Pushed: 12 months ago - Stars: 23 - Forks: 4
apallath/torch_models
Basic deep learning models in PyTorch.
Language: Jupyter Notebook - Size: 95.7 MB - Last synced: about 1 month ago - Pushed: about 4 years ago - Stars: 10 - Forks: 4
benmoseley/FBPINNs
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Language: Python - Size: 14.2 MB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 213 - Forks: 51
matthiasnwt/fast-poisson-solver
The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an efficient method using physics-informed neural networks (PINNs) to rapidly solve arbitrary 2D Poisson problems.
Language: Python - Size: 20.4 MB - Last synced: 30 days ago - Pushed: 11 months ago - Stars: 9 - Forks: 0
rmojgani/LPINNs
To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions
Language: Python - Size: 282 KB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 38 - Forks: 4
benmoseley/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
Language: Jupyter Notebook - Size: 2.59 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 483 - Forks: 136
ucl-bug/jwave
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Language: Python - Size: 54.8 MB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 122 - Forks: 20
314arhaam/burger-pinn
A Physics-Informed Neural Network for solving Burgers' equation.
Language: Jupyter Notebook - Size: 1.18 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 21 - Forks: 6
AmirMardan/pinn_fwi
PINN-FWI: performing physics-informed neural network for FWI
Language: Jupyter Notebook - Size: 12.2 MB - Last synced: 28 days ago - Pushed: about 2 months ago - Stars: 29 - Forks: 7
Shengfeng233/PINN-for-NS-equation
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
Language: Python - Size: 74.6 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 67 - Forks: 7
praksharma/DeepINN
A Physics-informed neural network (PINN) library.
Language: Jupyter Notebook - Size: 20.3 MB - Last synced: 11 days ago - Pushed: about 1 month ago - Stars: 5 - Forks: 1
samly97/soil-net
This project used convolutional neural networks to predict the steady-state concentration of 3D porous media, and subsequently calculates the tortuosity. This package includes data generation, processing, training, and post-processing functions. The loss function includes a Laplacian loss, which is a physics-informed loss.
Language: Python - Size: 41 KB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
ehwan/PINN
Physics Informed Neural Networks
Language: Python - Size: 606 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
thanh12273203/GSoC24_DeepLense_Tests
Multi-class classification and physics-informed model on gravitational lensing images to identify dark matter substructures.
Language: Jupyter Notebook - Size: 178 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0
jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Language: Jupyter Notebook - Size: 75.6 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 61 - Forks: 9
killah-t-cell/Plasma.jl
An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.
Language: Julia - Size: 125 MB - Last synced: 16 days ago - Pushed: about 2 years ago - Stars: 32 - Forks: 4
mahindrautela/BOPINN
Bayesian optimized physics-informed neural network for parameter estimation
Language: Jupyter Notebook - Size: 1.63 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 10 - Forks: 5
Davide-Ettori/PINN_Neural_Networks-PDE_Solvers
Physics-Informed Neural Networks for solving various Differential Equations and Inverse Problems
Language: Jupyter Notebook - Size: 2.94 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0
Antonio955/PI_DAE
This repository is the official implementation of [Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight](Energy and Buildings)
Language: Python - Size: 688 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0
procf/RhINNs
Rheology-informed Machine Learning Projects
Language: Jupyter Notebook - Size: 6.9 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 8 - Forks: 0
AlexandraBaier/deepsysid
System identification toolkit for multistep prediction using deep learning and hybrid methods.
Language: Python - Size: 1.06 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 10 - Forks: 4
idrl-lab/idrlnet
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
Language: Python - Size: 776 KB - Last synced: 2 months ago - Pushed: 11 months ago - Stars: 177 - Forks: 53
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: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0
Mathepia/awesome-sciml
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.
Language: JavaScript - Size: 1.56 MB - Last synced: 3 days ago - Pushed: over 1 year ago - Stars: 7 - Forks: 1
Mesbah-Lab-UCB/SPINODE
This code trains and implements a stochastic physics-informed neural ordinary differential equation (SPINODE) framework on a directed colloidal self-assembly test case.
Language: Jupyter Notebook - Size: 4.33 MB - Last synced: 3 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
OFDataCommittee/OFMLHackathon
OpenFOAM and Machine Learning Hackathon
Language: C++ - Size: 24.7 MB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 61 - Forks: 29
demroz/pinn-ms
code for Large area optimization of meta-lens via data-free machine learning
Language: Python - Size: 36.1 KB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 8 - Forks: 4
alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
Language: Python - Size: 34.6 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 101 - Forks: 33
amerlo94/neural-plasma-equilibrium-solver
PyTorch implementation of Neural Netowrk Differential Equation Plasma Equilibrium Solver.
Language: Python - Size: 44.3 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 7 - Forks: 0
MJfadeaway/DAS
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
Language: Python - Size: 5.29 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 32 - Forks: 8
IdahoLabResearch/BIhNNs
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
Language: Python - Size: 1.78 MB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 9 - Forks: 5
XinyuanLiao/AttnPINN-for-RUL-Estimation
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
Language: Python - Size: 5.11 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 39 - Forks: 7
uriyeobi/hamiltonian_neural_networks
Physics-Informed Machine Learning
Language: Jupyter Notebook - Size: 36.3 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0
pkestene/MS-HPC-AI-GPU
resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI
Language: C++ - Size: 69.4 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 19 - Forks: 10
MultiphysicsAI/Multiverse.jl
Solving multiphysics inverse problems with Scientific (physics-informed) Machine Learning
Size: 1000 Bytes - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
pankajkmishra/Multiverse.jl
Solving multiphysics inverse problems with Scientific (physics-informed) Machine Learning
Size: 2.93 KB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
axr6077/Black-Hole-X-ray-binary-Evolution
Interface machine learning with Cosmology and General Theory of relativity to visually analyze the evolution of GRS 1915+105 Black hole X-ray binary using WATCH ASM data captured aboard GRANAT.
Language: Python - Size: 19.2 MB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 1
AlexandreMagueresse/AQSNN.jl
Adaptive quadratures for nonlinear approximation of low-dimensional PDEs using smooth neural networks
Language: Julia - Size: 33.5 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 2 - Forks: 0
nanditadoloi/PINN
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
Language: Jupyter Notebook - Size: 235 KB - Last synced: 5 months ago - Pushed: 7 months ago - Stars: 143 - Forks: 34
vLAR-group/NVFi
NVFi in PyTorch (NeurIPS 2023)
Language: Python - Size: 73 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 12 - Forks: 1
dtu-act/pinn-acoustic-wave-prop
Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper "Physics-informed neural networks for 1D sound field predictions with parameterized sources and impedance boundaries" by N. Borrel-Jensen, A. P. Engsig-Karup, and C. Jeong.
Language: Python - Size: 111 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 22 - Forks: 2
ashish1610dhiman/pinn_option_pricing
Scientific Machine Learning for Option Pricing
Language: Jupyter Notebook - Size: 48 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 3
zsulsw/mlsa
Machine Learning-based Second-order Analysis of Beam-columns through Physics-Informed Neural Networks
Language: Python - Size: 1.85 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0
sgrubas/NES
Neural Eikonal Solver: framework for modeling traveltimes via solving eikonal equation using neural networks
Language: Jupyter Notebook - Size: 47.1 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 32 - Forks: 4
Song921012/MathEpiDeepLearningTutorial
Tutorials on math epidemiology and epidemiology informed deep learning methods
Language: Julia - Size: 57.8 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 3 - Forks: 1
wagenaartje/pinn4hcf
Physics-informed neural networks for highly compressible flows 🧠🌊
Language: Python - Size: 16.1 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 6 - Forks: 2
MartinAstro/GravNN
Repository for Gravity Field Modeling and Recovery using Machine Learning Methods
Language: Python - Size: 62.2 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 25 - Forks: 5
wanikhawar/SciML-experiments
Experiments with Physics Informed Neural Networks
Language: Jupyter Notebook - Size: 59.6 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0
Xemin0/PINNproj
PINN in JAX for predicting Charged Particle in an Electromagnetic Potential as a Final Project of APMA2070 @ Brown
Language: Jupyter Notebook - Size: 1.59 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0
martavarela/EP-PINNs
EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.
Language: MATLAB - Size: 48.3 MB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 9 - Forks: 5
ni-chen/3D-MB-HoloNet
Code of "Model-based holographic network for 3D particle imaging", IEEE Transactions on Computational Imaging, 2021.
Language: MATLAB - Size: 10.7 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 2 - Forks: 3
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: about 1 month ago - Pushed: 4 months ago - Stars: 20 - Forks: 3
nanditadoloi/PIML
My pytorch based implementation of the paper 'Limitations of Physics Informed Machine Learning for Nonlinear Two-Phase Transport in Porous Media'
Language: Jupyter Notebook - Size: 345 KB - Last synced: 4 months ago - Pushed: about 3 years ago - Stars: 6 - Forks: 5
nikiniki1/PINN-NTK
Pytorch version of 1D Wave equation.
Language: Python - Size: 9.77 KB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0
ShotaDeguchi/DN_PINN
Implementaion of Dynamically Normalized Physics-Informed Neural Networks in TensorFlow
Language: Python - Size: 766 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 2 - Forks: 1
mvanzulli/TPINN
This repository contains an implementation of Tensorized Physics Informed Neural Networks (TPINNs) for solving physics-based problem
Language: Python - Size: 203 KB - Last synced: 7 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
maritimebear/CombustionPINN_RxnProgressVariable
Physics-informed neural network applied to premixed laminar flames -- simplified model using reaction progress variable.
Language: Python - Size: 278 KB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 2 - Forks: 0
sob-ANN/Projects
Project Portfolio
Language: Jupyter Notebook - Size: 10.6 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0
KunkelAlexander/pinn-tensorflow
Solver linear Schrödinger equation in 1D using Physics Informed Neural Network.
Language: Jupyter Notebook - Size: 6.55 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
smrfeld/phys_dbd
Physics-based machine learning with dynamic Boltzmann distributions
Language: Jupyter Notebook - Size: 19.3 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0
maritimebear/PINN_PoissonEquation
Physics-informed neural network for 2-D Poisson problems.
Language: Python - Size: 5.3 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
Rubiksman78/Pole_projet_PINN
TF2 Implementation of Physics Informed Neural Networks and Neural Tangent Kernel
Language: Python - Size: 46.3 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 7 - Forks: 1
slanderson/hypernet
neural-network-based ROM testbed using an auto-encoder as an approximation manifold for the state, and an MLP for the reduced residual function
Language: Python - Size: 85.9 KB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0
