deepxde
nvidia-modulus-airfoil-optimisation
| deepxde | nvidia-modulus-airfoil-optimisation | |
|---|---|---|
| 2 | 3 | |
| 2,343 | 21 | |
| - | - | |
| 8.6 | 1.4 | |
| 17 days ago | about 1 year ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 only |
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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)
nvidia-modulus-airfoil-optimisation
What are some alternatives?
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
fdtd - A 3D electromagnetic FDTD simulator written in Python with optional GPU support
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Incoherent-Light-Simulation - Simulation of the propagation of incoherent light, aiming to illustrate the concept of spatial coherence.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
dedalus - A flexible framework for solving PDEs with modern spectral methods.
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）
python-physics-stuffs - physics and science projects in python
deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"
opem - OPEM (Open Source PEM Fuel Cell Simulation Tool)
pymadcad - Simple yet powerful CAD (Computer Aided Design) library, written with Python.
SPH-Fluid-Simulation - Smoothed Particle Hydrodynamics implementation with Python