nvidia-modulus-airfoil-optimisation
deepxde
| nvidia-modulus-airfoil-optimisation | deepxde | |
|---|---|---|
| 3 | 2 | |
| 21 | 2,343 | |
| - | - | |
| 1.4 | 8.6 | |
| about 1 year ago | 13 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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nvidia-modulus-airfoil-optimisation
deepxde
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[Dev-Showcase] Airfoil Optimisation using Physics Informed Neural Networks(PINNs)
Due to certain limitations in MODULUS(We are unable to directly access the point cloud), we are now also exploring other available PINNs libraries and frameworks and stumbled on to deepXDE. deepXDE is a little different than Modulus and I'm currently exploring it.
- Physics-Informed ML Simulator for Wildfire Propagation (Video)
What are some alternatives?
fdtd - A 3D electromagnetic FDTD simulator written in Python with optional GPU support
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Incoherent-Light-Simulation - Simulation of the propagation of incoherent light, aiming to illustrate the concept of spatial coherence.
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
dedalus - A flexible framework for solving PDEs with modern spectral methods.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
python-physics-stuffs - physics and science projects in python
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
opem - OPEM (Open Source PEM Fuel Cell Simulation Tool)
deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"
SPH-Fluid-Simulation - Smoothed Particle Hydrodynamics implementation with Python
pymadcad - Simple yet powerful CAD (Computer Aided Design) library, written with Python.