Physics-Informed Neural Networks ML Frameworks

Frameworks and implementations for Physics-Informed Neural Networks (PINNs) that embed physical equations and constraints into neural networks to solve PDEs and scientific computing problems. Does NOT include general neural networks, standard PDE solvers without ML integration, or domain-specific applications like heat transfer unless the primary focus is the PINN methodology itself.

There are 54 physics-informed neural networks frameworks tracked. 2 score above 70 (verified tier). The highest-rated is NVIDIA/physicsnemo at 74/100 with 2,530 stars. 3 of the top 10 are actively maintained.

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# Framework Score Tier
1 NVIDIA/physicsnemo

Open-source deep-learning framework for building, training, and fine-tuning...

74
Verified
2 SciML/NeuralPDE.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential...

71
Verified
3 NVIDIA/physicsnemo-sym

Framework providing pythonic APIs, algorithms and utilities to be used with...

63
Established
4 idrl-lab/idrlnet

IDRLnet, a Python toolbox for modeling and solving problems through...

61
Established
5 jdtoscano94/NABLA-SciML

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

59
Established
6 mathLab/PINA

Physics-Informed Neural networks for Advanced modeling

57
Established
7 AmeyaJagtap/XPINNs

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time...

48
Emerging
8 airexlab/fastvpinns

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

47
Emerging
9 nanditadoloi/PINN

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

46
Emerging
10 shawnrosofsky/PINO_Applications

Applications of PINOs

46
Emerging
11 AmeyaJagtap/Conservative_PINNs

We propose a conservative physics-informed neural network (cPINN) on...

45
Emerging
12 314arhaam/heat-pinn

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

45
Emerging
13 314arhaam/burger-pinn

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

40
Emerging
14 MJfadeaway/DAS

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

40
Emerging
15 JRice15/physics-informed-autoencoders

Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed...

39
Emerging
16 caio-davi/PSO-PINN

Physics-Informed Neural Networks Trained with Particle Swarm Optimization

33
Emerging
17 pasqal-io/qex

JAX-based differentiable Kohn-Sham Density Functional Theory implementation...

33
Emerging
18 HiPerSimLab/PECANN

PECANNs: Physics and Equality Constrained Artificial Neural Networks

32
Emerging
19 nbouziani/physics-driven-ml

Physics-driven machine learning using PyTorch and Firedrake

32
Emerging
20 rmojgani/LPINNs

To address some of the failure modes in training of physics informed neural...

31
Emerging
21 XinyuanLiao/Adaptive-optimization-of-PINN

Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance...

29
Experimental
22 EMSL-Computing/PIML4PDE

A python package for physics-informed machine learning for solving partial...

29
Experimental
23 kanhaiya-gupta/pinn-research-platform

A comprehensive research platform for Physics-Informed Neural Networks...

28
Experimental
24 leiterrl/porch

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

27
Experimental
25 JB55Matthews/PinnDE

PinnDE: A Python library for solving differential equations with physics...

24
Experimental
26 demroz/pinn-ms

code for Large area optimization of meta-lens via data-free machine learning

23
Experimental
27 Jbrich95/pinnEV

Partially-Interpretable Neural Networks for Extreme Value modelling

23
Experimental
28 pornchai1889/pinn_btcusdt_option

Universal PINN solver for real-time Bitcoin Option Pricing. Solves...

23
Experimental
29 kimy-de/pinns

Physics-informed neural networks (PINNs)

22
Experimental
30 yoelt11/eff-physics-learn-dataset

Dataset for Physics-informed Learning

22
Experimental
31 Florencio026/PINNs_YouTube

🔍 Analyze the Poschl-Teller quantum well with analytic solutions, harmonic...

22
Experimental
32 kochlisGit/Physics-Informed-Neural-Network-PINN-Tensorflow

Implementation of a Physics Informed Neural Network (PINN) written in...

22
Experimental
33 ippqw5/PINNLearning

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

22
Experimental
34 ShotaDeguchi/PINN_Torch

Implementation of PINNs in PyTorch

21
Experimental
35 GaneshShivalingappa/Parametric-NN-Models

Physics-Informed Neural Network, Finite Element Method enhanced neural...

21
Experimental
36 ZINZINBIN/Physics-informed-ml-study

study code for physics informed machine learning and deep learning

20
Experimental
37 akarshp28/EIT-EBM

EIT-EBM

20
Experimental
38 MunzirH/Applications-of-Physics-Informed-Machine-Learning

🌌 Applications of Physics-Informed ML: A collection of notebooks from my...

20
Experimental
39 zsulsw/mlsa

Machine Learning-based Second-order Analysis of Beam-columns through...

20
Experimental
40 AryaAftab/Physics-based-neural-network

Physics-based neural network with Sine Activation Function

18
Experimental
41 orujovshah/pinn-wave-equation

A clean, modular implementation of Physics-Informed Neural Networks (PINNs)...

18
Experimental
42 xgxgnpu/Physics-informed-vibe-coding

The first open-source repository dedicated to PINN research via Vibe Coding....

17
Experimental
43 chesterchung1998/Using-PINNs-to-predict-non-Newtonian-flows

Academic project on evaluation of the effectiveness of Physics-informed...

16
Experimental
44 Arfazrll/Photovoltaic-Physics-Informed-Neural-Network

A renewable energy prediction model that combines deep learning with physics...

15
Experimental
45 crgonzalezh/physics-informed-neural-networks

Physics-Informed Neural Networks (PINNs) for solving PDEs in PyTorch

15
Experimental
46 doomsday4/Heat-Transfer-in-Advanced-Manufacturing-using-PINN

This is a PINN based approach in solving high temperature heat transfer...

15
Experimental
47 doomsday4/PINN-for-CSTR

The application of a Physics Informed Neural Network on modelling the...

15
Experimental
48 ritog/harmonic

Training a Hamiltonian Neural Network

14
Experimental
49 L-A-Sandhu/Physics-Informed-Vectors-For-Wind-Speed-Prediction

Official Implementation of Integrating Physics-Informed Vectors for Improved...

14
Experimental
50 Aditya-Karri/PINN-CFD-Surrogate

Physics-Informed Neural Networks (PINNs) accelerating ANSYS Fluent CFD...

14
Experimental
51 alpz/mech-nn

Code Repository for the paper "Mechanistic Neural Networks for Scientific...

13
Experimental
52 nPIML-team/nPIML

The official respository for noise-aware physics-informed machine learning (nPIML)

13
Experimental
53 gorodnichy/PINN

Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural...

12
Experimental
54 Anurag-Dutta/PoFINN

Integrating Physics of Failure and Neural Networks for Long-term Degradation...

11
Experimental