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PDEBench: An Extensive Benchmark for Scientific Machine Learning
Created
2022-06-02
120 commits to main branch, last one about a month ago
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Created
2019-03-28
1,242 commits to master branch, last one about a month ago
Code accompanying my blog post: So, what is a physics-informed neural network?
Created
2021-08-28
3 commits to main branch, last one 2 years ago
Physics-Informed Neural networks for Advanced modeling
Created
2021-11-29
274 commits to master branch, last one 6 days ago
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Created
2021-06-27
22 commits to main branch, last one 6 days ago
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
Created
2021-02-06
9 commits to main branch, last one 3 years ago
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
Created
2021-07-05
63 commits to master branch, last one 12 months ago
A toolkit with data-driven pipelines for physics-informed machine learning.
Created
2022-11-03
1,002 commits to main branch, last one 3 months ago
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Created
2021-04-06
424 commits to main branch, last one 6 months ago
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
Created
2021-05-08
74 commits to main branch, last one about a year ago
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Created
2020-10-03
309 commits to main branch, last one 2 years ago
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Created
2023-08-10
51 commits to main branch, last one about a month ago
This repository containts materials for End-to-End AI for Science
Created
2023-03-23
13 commits to main branch, last one 4 months ago
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
Created
2021-11-21
64 commits to main branch, last one 2 months ago
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
Created
2021-11-12
120 commits to main branch, last one a day ago
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
142 commits to main branch, last one 3 months ago
This repository has no description...
Created
2021-08-17
26 commits to main branch, last one about a year ago
Example problems in Physics informed neural network in JAX
Created
2021-09-09
21 commits to main branch, last one 10 months ago
OpenFOAM and Machine Learning Hackathon
Created
2022-02-25
248 commits to main branch, last one 5 days ago
python library for atomistic machine learning
Created
2021-11-17
138 commits to development branch, last one 2 days ago
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
Created
2023-11-01
24 commits to main branch, last one about a month ago
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
Created
2023-01-07
152 commits to English branch, last one 5 months ago
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
163 commits to main branch, last one 12 hours ago
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...
Created
2022-05-04
22 commits to main branch, last one about a year ago
Neural Eikonal Solver: framework for modeling traveltimes via solving eikonal equation using neural networks
Created
2022-01-01
198 commits to main branch, last one 5 months ago
Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
Created
2022-06-08
54 commits to main branch, last one about a year ago
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
Created
2022-07-22
44 commits to main branch, last one 4 months ago
NVFi in PyTorch (NeurIPS 2023)
Created
2023-12-11
3 commits to main branch, last one 5 months ago