pinn

There are 65 repositories under pinn topic.

  • lululxvi/deepxde

    A library for scientific machine learning and physics-informed learning

    Language:Python2.4k56755703

  • SciML/NeuralPDE.jl

    Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

    Language:Julia91637333195

  • 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:Julia84432390151
  • neurodiffeq

    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:Python642279186

  • mathLab/PINA

    Physics-Informed Neural networks for Advanced modeling

    Language:Python276118755

  • Raocp/PINN-laminar-flow

    Physics-informed neural network for solving fluid dynamics problems

    Language:Python1637544

  • i207M/PINNacle

    Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

    Language:Python1623732

  • Photon-AI-Research/NeuralSolvers

    Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

    Language:Python133124446

  • luo-yining/CFDBench

    A large-scale benchmark for machine learning methods in fluid dynamics

    Language:Python994711

  • openhackathons-org/End-to-End-AI-for-Science

    This repository containts materials for End-to-End AI for Science

    Language:Jupyter Notebook743822

  • ASEM000/Physics-informed-neural-network-in-JAX

    Example problems in Physics informed neural network in JAX

    Language:Jupyter Notebook62215

  • chen-yingfa/pinn-torch

    PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations

    Language:Jupyter Notebook62119

  • EdgeLLM/pinn-pytorch

    Deep learning library for solving differential equations on top of PyTorch.

    Language:Python594217

  • 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:Python41504

  • skoohy/GPT-PINN

    Generative Pre-Trained Physics-Informed Neural Networks Implementation

    Language:Python384111

  • erfanhamdi/pinn-torch

    Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose

    Language:Python32114

  • MJfadeaway/DAS

    DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations

    Language:Python32309

  • AmirMardan/pinn_fwi

    PINN-FWI: performing physics-informed neural network for FWI

    Language:Jupyter Notebook30219

  • cjcase/rpi3-hackrf

    A remix of Arch Linux ARM for Raspberry Pi 3 B+ built for HackRF and RTL-SDR

    Language:Python295312

  • MartinuzziFrancesco/awesome-scientific-machine-learning

    A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

    25124

  • pkestene/MS-HPC-AI-GPU

    resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI

    Language:C++224010

  • VaidehiSom/Trajectory_Prediction_and_Dynamic_Obtacle_Avoidance_for_SDC

    Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles

    Language:Jupyter Notebook19202

  • Oscarlight/PiNN_Caffe2

    PiNN2 is a easy-to-use framework for device compact modeling using physics-inspired neural networks

    Language:Python14309

  • Rubiksman78/PINN_torch

    Pytorch implementation of Physics Informed Neural Networks and improvements

    Language:Python11201

  • cmgcds/fastvpinns

    FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries

    Language:Python10214

  • fabianjaeger1/DLSC

    This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH jointly by Siddhartha Mishra and Benjamin Moseley in Spring 2024. The description of the tasks can be found in the PDFs.

    Language:Jupyter Notebook10205

  • 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:Python10110

  • akarshp28/EIT-EBM

    EIT-EBM

    Language:Python9110

  • kochlisGit/Physics-Informed-Neural-Network-PINN-Tensorflow

    Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.

    Language:Jupyter Notebook8204
  • mlsa

    zsulsw/mlsa

    Machine Learning-based Second-order Analysis of Beam-columns through Physics-Informed Neural Networks

    Language:Python8301

  • sakaki-/pinnify

    A simple, templated script to create PINN-compatible compressed tarballs and metadata from an OS disk image

    Language:Shell7416

  • sm823zw/PINN-for-Poisson-Equation

    This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks

    Language:Jupyter Notebook7101

  • jomorlier/IA_CNRS_ICA

    Notebooks and Data for ICA's course on IA

    Language:Jupyter Notebook6102

  • cissieAB/pinn-heat-equation

    A standalone project to test libtorch C++ APIs on solving the 2D heat equation with PINN.

    Language:C++5111

  • jjdabr/BPINN-Wildfire

    Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires"

    Language:Python5202

  • sanjeev4427/PINNs-Applications-in-Linear-Elastic-Solid-Mechanics

    This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six activation functions are analysed on the basis of minimum loss, training time and convergence order for different error norms.

    Language:Python5100