neuraloperator
deepxde
| neuraloperator | deepxde | |
|---|---|---|
| 2 | 2 | |
| 1,809 | 2,365 | |
| 5.1% | - | |
| 9.4 | 8.6 | |
| 7 days ago | 9 days ago | |
| Python | Python | |
| MIT License | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
neuraloperator
- Learn in Infinite Dimensions
-
Tensorflow version of layer running almost 10x slower
I've been trying to port the method used in this this paper, starting with the 2D version in this file from their github. I succeeded in replicating the results, verifying I get the same results and gradients. However, the resulting layer takes about 10x the time to run with Tensorflow (v2.4) compared to Pytorch (self compiled from git) on a V100. Here's my implementation of the layer using Tensorflow.
deepxde
-
[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?
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
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
dedalus - A flexible framework for solving PDEs with modern spectral methods.
nvidia-modulus-airfoil-optimisation - Using NVIDIA modulus for airfoil optimizations at different angles.
paddle-billing-sdk - Paddle Billing API SDK for Node
dlpack - common in-memory tensor structure