dlpack
deepxde
dlpack | deepxde | |
---|---|---|
1 | 2 | |
858 | 2,376 | |
1.6% | - | |
5.2 | 8.6 | |
9 days ago | 15 days ago | |
Python | Python | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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dlpack
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Beginner projects/resources to learn about ML Compilers
For tensor layout, this is the standard for all libraries: https://github.com/dmlc/dlpack/blob/main/include/dlpack/dlpack.h
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?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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)
cupy - NumPy & SciPy for GPU
deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"
opt_einsum - ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
pymadcad - Simple yet powerful CAD (Computer Aided Design) library, written with Python.