33 results found Sort:

pdebench
PDEBench pdebench
90
781
other
17
PDEBench: An Extensive Benchmark for Scientific Machine Learning
ai jax sciml pytorch benchmark scientific simulation deep-learning fluid-dynamics neural-networks machine-learning neural-operators scientific-computing autoregressive-models navier-stokes-equations partial-differential-equations physics-informed-neural-networks
Created 2022-06-02
140 commits to main branch, last one about a month ago
NeuroDiffGym
neurodiffeq NeuroDiffGym
92
710
mit
25
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
ode odes pinn pypi pytorch pde-solver time-series deep-learning neural-networks scientific-computing initial-value-problem boundary-value-problem differential-equations mathematical-modelling artificial-intelligence physics-informed-neural-networks
Created 2019-03-28
1,243 commits to master branch, last one 4 months ago
benmoseley
harmonic-oscillator-pinn benmoseley
158
566
mit
18
Code accompanying my blog post: So, what is a physics-informed neural network?
pinns sciml neural-networks physics-informed-ml physics-informed-neural-networks
Created 2021-08-28
3 commits to main branch, last one 3 years ago
mathLab
PINA mathLab
66
399
mit
12
Physics-Informed Neural networks for Advanced modeling
ode pde pinn python pytorch modeling lightining deep-learning hacktoberfest neural-networks machine-learning neural-operators physics-informed equation-learning differential-equations physics-informed-neural-networks
Created 2021-11-29
315 commits to master branch, last one 8 days ago
benmoseley
FBPINNs benmoseley
65
322
mit
12
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
jax pinns neural-networks domain-decomposition differential-equations physics-informed-neural-networks
Created 2021-06-27
22 commits to main branch, last one 5 months ago
rezaakb
pinns-torch rezaakb
45
287
bsd-3-clause
5
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
pinns pytorch cuda-graph jit-compiler physics-informed-neural-networks
Created 2023-08-10
51 commits to main branch, last one 6 months ago
nanditadoloi
PINN nanditadoloi
47
260
mit
4
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
pytorch machine-learning physics-informed-neural-networks
Created 2021-02-06
13 commits to main branch, last one 5 months ago
idrl-lab
idrlnet idrl-lab
55
205
apache-2.0
12
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
python pde-solver inverse-problems machine-learning data-driven-model scientific-machine-learning physics-informed-neural-networks
Created 2021-07-05
65 commits to master branch, last one about a month ago
IBM
simulai IBM
23
168
apache-2.0
14
A toolkit with data-driven pipelines for physics-informed machine learning.
simulation neural-networks machine-learning physics-informed-neural-networks
Created 2022-11-03
1,040 commits to main branch, last one 3 months ago
alexpapados
Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics alexpapados
41
154
unknown
8
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
pinns shock-tube hydrodynamics linear-elasticity computational-physics physics-based-simulation computational-fluid-dynamics physics-informed-neural-networks
Created 2021-05-08
74 commits to main branch, last one about a year ago
ucl-bug
jwave ucl-bug
21
143
lgpl-3.0
8
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
gpu jax kwave acoustics simulation ultrasound wave-equation gpu-acceleration tpu-acceleration differentiable-simulations scientific-machine-learning physics-informed-neural-networks
Created 2021-04-06
426 commits to main branch, last one 2 months ago
314arhaam
heat-pinn 314arhaam
14
116
mit
3
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
physics python3 deep-learning heat-equation heat-transfer machine-learning finite-difference physics-informed-ml process-engineering chemical-engineering partial-differential-equations physics-informed-neural-networks
Created 2021-11-12
195 commits to main branch, last one 9 hours ago
tensordiffeq
TensorDiffEq tensordiffeq
40
113
unknown
7
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
gpu pinns multi-gpu neural-pde tensorflow collocation tensorflow2 gpu-computing neural-networks gpu-acceleration multi-gpu-training distributed-systems differential-equations physics-informed-learning scientific-machine-learning physics-informed-neural-networks
Created 2020-10-03
309 commits to main branch, last one 2 years ago
openhackathons-org
End-to-End-AI-for-Science openhackathons-org
39
112
apache-2.0
5
This repository containts materials for End-to-End AI for Science
ai hpc pde pinn ai4hpc modulus omniverse fourcastnet deep-learning navier-stokes machine-learning weather-forecast artificial-intelligence physics-informed-neural-networks
Created 2023-03-23
14 commits to main branch, last one 3 months ago
Shengfeng233
PINN-for-NS-equation Shengfeng233
9
110
unknown
2
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
pytorch fluid-mechanics physics-informed-neural-networks
Created 2021-11-21
64 commits to main branch, last one 8 months ago
jbramburger
DataDrivenDynSyst jbramburger
12
86
mit
5
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
sindy time-delay autoencoder forecasting autoencoders data-science poincare-map kernel-methods neural-network sindy-algorithm machine-learning stroboscopic-map conservation-laws dynamical-systems physics-informed-learning autoencoder-neural-network dynamic-mode-decomposition universal-approximation-theorem physics-informed-neural-networks extended-dynamic-mode-decomposition
Created 2022-03-09
144 commits to main branch, last one 3 months ago
rezaakb
pinns-tf2 rezaakb
27
84
bsd-3-clause
4
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
pinns physics tensorflow2 physics-informed-neural-networks
Created 2023-11-01
24 commits to main branch, last one 6 months ago
XinyuanLiao
AttnPINN-for-RUL-Estimation XinyuanLiao
8
81
apache-2.0
5
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
self-attention physics-informed-neural-networks remaining-useful-life-prediction
Created 2023-01-07
152 commits to English branch, last one 10 months ago
clegaard
deep_learning_for_dynamical_systems clegaard
19
79
unknown
6
This repository has no description...
pytorch deep-learning dynamical-systems numerical-simulation scientific-machine-learning partial-differential-equations ordinary-differential-equations physics-informed-neural-networks
Created 2021-08-17
26 commits to main branch, last one about a year ago
ASEM000
Physics-informed-neural-network-in-JAX ASEM000
6
76
mit
2
Example problems in Physics informed neural network in JAX
jax pinn colab laplace navier-stokes physics-based-neuralnetwork physics-informed-neural-networks
Created 2021-09-09
21 commits to main branch, last one about a year ago
skoohy
GPT-PINN skoohy
15
75
unknown
4
Generative Pre-Trained Physics-Informed Neural Networks Implementation
gpt pdes pinn python pytorch allen-cahn tensorflow mathematics deep-learning neural-network neural-networks burgers-equation machine-learning numerical-methods computational-science klein-gordon-equation differential-equations physics-informed-learning partial-differential-equations physics-informed-neural-networks
Created 2023-03-25
183 commits to main branch, last one 5 months ago
OFDataCommittee
OFMLHackathon OFDataCommittee
29
63
gpl-3.0
7
OpenFOAM and Machine Learning Hackathon
openfoam smartsim hackathon nvidia-modulus machine-learning deep-reinforcement-learning physics-informed-neural-networks
Created 2022-02-25
248 commits to main branch, last one 5 months ago
rmojgani
LPINNs rmojgani
5
42
unknown
5
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...
ml nn pinn burgers pytorch convection lagrangian deep-learning neural-network convection-diffusion method-of-characteristics physics-informed-neural-networks
Created 2022-05-04
22 commits to main branch, last one about a year ago
MartinuzziFrancesco
awesome-scientific-machine-learning MartinuzziFrancesco
7
42
mit
1
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
pinn sciml differential-equations physics-informed-learning scientific-machine-learning neural-differential-equations physics-informed-neural-networks
Created 2022-11-10
45 commits to main branch, last one 11 months ago
vLAR-group
NVFi vLAR-group
1
39
unknown
2
NVFi in PyTorch (NeurIPS 2023)
3d neurips velocity physics-3d 3d-velocity 3d-rendering neurips-2023 3d-reconstruction 3d-physics-learning physics-informed-learning physics-informed-neural-networks
Created 2023-12-11
3 commits to main branch, last one 11 months ago
erfanhamdi
pinn-torch erfanhamdi
5
38
mit
1
Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
pinn pytorch physics-informed-neural-networks
Created 2022-06-08
54 commits to main branch, last one 2 years ago
thaipduong
SE3HamDL thaipduong
13
37
mit
2
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
neural-ode dynamics-learning trajectory-tracking physics-informed-neural-networks
Created 2021-06-04
30 commits to main branch, last one about a year ago
sgrubas
NES sgrubas
5
37
mit
4
Neural Eikonal Solver: framework for modeling traveltimes via solving eikonal equation using neural networks
caustics traveltime eikonal-solver eikonal-equation neural-eikonal-solver physics-informed-neural-networks
Created 2022-01-01
213 commits to main branch, last one 4 months ago
MJfadeaway
DAS MJfadeaway
8
35
mit
3
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
pde pinn deep-learning adaptive-sampling deep-generative-models scientific-machine-learning partial-differential-equations physics-informed-neural-networks
Created 2022-07-22
47 commits to main branch, last one 13 days ago
cmgcds
fastvpinns cmgcds
11
29
mit
3
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
pinn tensorflow2 deep-learning neural-network inverse-problems scientific-machine-learning partial-differential-equations physics-informed-neural-networks
Created 2024-04-22
169 commits to main branch, last one 2 months ago