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Grid-based approximation of partial differential equations in Julia
Created
2019-03-15
5,224 commits to master branch, last one 20 hours ago
Python package for solving partial differential equations using finite differences.
Created
2020-02-21
1,269 commits to master branch, last one a day ago
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Created
2020-09-14
41 commits to master branch, last one 3 years ago
Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.
Created
2018-09-11
1,707 commits to main branch, last one about a month ago
Start solving PDEs in Julia with Gridap.jl
Created
2019-08-08
618 commits to master branch, last one 2 months ago
Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
Created
2024-05-22
15 commits to main branch, last one 5 months ago
Rensselaer's Optimistic Simulation System
Created
2013-08-09
1,145 commits to master branch, last one 2 years ago
NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!
Created
2018-06-02
5,232 commits to master branch, last one 12 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
183 commits to main branch, last one 5 months ago