deepxde
dedalus
| deepxde | dedalus | |
|---|---|---|
| 2 | 1 | |
| 2,343 | 442 | |
| - | 2.7% | |
| 8.6 | 8.6 | |
| 16 days ago | 7 days 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)
dedalus
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Anyone's has a notes, papers, etc. in spectral collocations methods for a eingvalues problems. I'm interested on Chebyshev solution procedure because i want to calculate the temporal stability in an annular problem.
Shameless plug: I'm a developer of an open-source Python-based spectral PDE solver called Dedalus which you might be able to use to do this. Dedalus lets you symbolically specify a system of PDEs (IVPs, BVPs, and EVPs) and then automatically forms sparse discretizations using global spectral bases (Fourier series, Chebyshev series, spherical harmonics, etc.) and solves them in parallel with MPI.
What are some alternatives?
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
shenfun - High performance computational platform in Python for the spectral Galerkin method
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
nvidia-modulus-airfoil-optimisation - Using NVIDIA modulus for airfoil optimizations at different angles.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
2d-fluid-simulator - 2D incompressible fluid solver implemented in Taichi.
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）
deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"
pymadcad - Simple yet powerful CAD (Computer Aided Design) library, written with Python.
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Keras - Deep Learning for humans