19 results found Sort:

760
2.8k
lgpl-2.1
56
A library for scientific machine learning and physics-informed learning
Created 2019-02-08
1,207 commits to master branch, last one 10 days ago
200
995
other
36
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Created 2017-03-14
2,721 commits to master branch, last one 2 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
1,923 commits to master branch, last one 3 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
1,243 commits to master branch, last one 4 months ago
66
392
mit
12
Physics-Informed Neural networks for Advanced modeling
Created 2021-11-29
314 commits to master branch, last one 2 days ago
39
247
mit
4
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
Created 2023-06-07
52 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
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131
unknown
4
A large-scale benchmark for machine learning methods in fluid dynamics
Created 2023-09-07
44 commits to main branch, last one 2 months ago
This repository containts materials for End-to-End AI for Science
Created 2023-03-23
14 commits to main branch, last one 2 months ago
Example problems in Physics informed neural network in JAX
Created 2021-09-09
21 commits to main branch, last one about a year ago
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
Created 2022-11-13
7 commits to master branch, last one 2 years ago
5
42
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
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Created 2022-11-10
45 commits to main branch, last one 11 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 2 years ago
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
Created 2022-07-22
47 commits to main branch, last one a day ago
Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles
Created 2022-12-29
1 commits to master branch, last one about a year ago
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
Created 2024-04-22
169 commits to main branch, last one 2 months ago