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A library for scientific machine learning and physics-informed learning
Created
2019-02-08
1,213 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
2,727 commits to master branch, last one 6 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
1,927 commits to master branch, last one 6 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 5 months ago
Physics-Informed Neural networks for Advanced modeling
Created
2021-11-29
318 commits to master branch, last one 9 days ago
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 4 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
A large-scale benchmark for machine learning methods in fluid dynamics
Created
2023-09-07
45 commits to main branch, last one 9 days 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
250 commits to master branch, last one 2 days ago
This repository containts materials for End-to-End AI for Science
Created
2023-03-23
14 commits to main branch, last one 3 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
PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
Created
2022-11-13
7 commits to master branch, last one 2 years 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
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 about a year 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 about a month 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
176 commits to main branch, last one 6 days ago