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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
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
pinn
stiff-ode
neural-dde
neural-ode
neural-pde
neural-sde
neural-sdes
scientific-ai
scientific-ml
neural-networks
differentialequations
differential-equations
neural-jump-diffusions
physics-informed-learning
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
stochastic-differential-equations
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
Physics-Informed Neural networks for Advanced modeling
Created
2021-11-29
275 commits to master branch, last one 2 days ago
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
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
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 3 days 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
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