本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A collection of various deep learning architectures, models, and tips

Best Practices, code samples, and documentation for Computer Vision.

Notebooks for learning deep learning

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Computational Fluid Dynamics in JAX

Examples of how to use machine learning algorithms in computational fluid dynamics.

A collection of code examples as well as presentations for training purposes

Cantera examples in the form of Jupyter notebooks

a repo for adopting machine learning in combustion simulation

keyfi is a python package for key feature identification via dimensionality reduction, unsupervised clustering, and feature correlation in high-dimensional datasets

Use of cantera to generate JANAF thermodynamic coefficients for OpenFOAM