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44 search results found

Neurodiffeq ⭐ 576

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

Pdebench ⭐ 522

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Physics-Informed Neural networks for Advanced modeling

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

Idrlnet ⭐ 129

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Fbpinns ⭐ 110

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

A toolkit with data-driven pipelines for physics-informed machine learning.

Tensordiffeq ⭐ 60

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

Ofmlhackathon ⭐ 56

OpenFOAM and Machine Learning Hackathon

Physics Informed Deep Learning Solid And Fluid Mechanics ⭐ 55

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

Heat Pinn ⭐ 53

A Physics-Informed Neural Network to solve 2D steady-state heat equation.

python library for atomistic machine learning

Datadrivendynsyst ⭐ 40

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Neural Eikonal Solver: framework for modeling traveltimes via solving eikonal equation using neural networks

Deep_learning_for_dynamical_systems ⭐ 31

Physics Informed Neural Network In Jax ⭐ 31

Example problems in Physics informed neural network in JAX

Repository for Gravity Field Modeling and Recovery using Machine Learning Methods

Pinn Acoustic Wave Prop ⭐ 22

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.

Gpt Pinn ⭐ 22

Generative Pre-Trained Physics-Informed Neural Networks Implementation

Se3hamdl ⭐ 21

Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"

Plasma.jl ⭐ 21

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

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

Nvidia Modulus Airfoil Optimisation ⭐ 20

Using NVIDIA modulus for airfoil optimizations at different angles.

Ms Hpc Ai Gpu ⭐ 19

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

Pararealml ⭐ 19

A machine learning boosted parallel-in-time differential equation solver framework.

Scimltutorialsoutput ⭐ 18

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

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

Burger Pinn ⭐ 17

A Physics-Informed Neural Network for solving Burgers' equation.

Pinn For Ns Equation ⭐ 15

A pytorch implementaion of physics informed neural networks for two dimensional NS equation

Awesome Scientific Machine Learning ⭐ 15

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

Mathepideeplearning ⭐ 15

Awesome-spatial-temporal-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. Keep updating.

Attnpinn For Rul Estimation ⭐ 14

A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

NVFi in PyTorch (NeurIPS 2023)

Model Collection ⭐ 11

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.

Pinn_fwi ⭐ 11

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

Deepsysid ⭐ 9

System identification toolkit for multistep prediction using deep learning and hybrid methods.

Adaptive Optimization Of Pinn ⭐ 9

Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm

Pinnlearning ⭐ 7

Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN

A PyTorch library for Physics-Informed Neural Networks (PINNs)

Pinns Torch ⭐ 7

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Physics-informed neural networks for highly compressible flows 🧠🌊

Bubblenet ⭐ 6

A physics-informed deep learning architecture for inferring bubble dynamics

Pinns_tf2 ⭐ 6

Tensorflow 2 implementation of PINNs

Related Searches

Python Physics Informed Neural Networks (31)

Jupyter Notebook Physics Informed Neural Networks (15)

Machine Learning Physics Informed Neural Networks (14)

Physics Informed Neural Networks Pinn (10)

Deep Learning Physics Informed Neural Networks (9)

Pytorch Physics Informed Neural Networks (7)

Differential Equations Physics Informed Neural Networks (6)

Scientific Machine Learning Physics Informed Neural Networks (6)

Tensorflow Physics Informed Neural Networks (5)

Jax Physics Informed Neural Networks (5)

1-44 of 44 search results

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