16 results found Sort:

712
2.5k
lgpl-2.1
57
A library for scientific machine learning and physics-informed learning
Created 2019-02-08
1,182 commits to master branch, last one 3 days ago
196
923
other
36
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created 2017-03-14
2,465 commits to master branch, last one 5 days ago
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
Created 2018-12-26
1,871 commits to master branch, last one 2 days 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
57
307
mit
11
Physics-Informed Neural networks for Advanced modeling
Created 2021-11-29
275 commits to master branch, last one 2 days ago
32
176
unknown
3
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
Created 2023-06-07
50 commits to main branch, last one 3 months ago
Physics-informed neural network for solving fluid dynamics problems
Created 2020-04-09
11 commits to master branch, last one 3 years ago
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Created 2020-06-14
224 commits to master branch, last one about a year ago
11
103
unknown
4
A large-scale benchmark for machine learning methods in fluid dynamics
Created 2023-09-07
43 commits to main branch, last one 3 months 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
Example problems in Physics informed neural network in JAX
Created 2021-09-09
21 commits to main branch, last one 10 months ago
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
Created 2022-11-13
7 commits to master branch, last one about a year ago
5
41
unknown
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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
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
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