《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

A toolbox of vision models and algorithms based on MindSpore

Natural Language Processing Tutorial for Deep Learning Researchers

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

2D Forward Modeling of Surface Waves(Love + Rayleigh) and Forward Modeling of their Dispersion Curves in multi-layer models.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Main package for SeismicJulia project

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Xinming Wu's research repository

Simple Back Propagation Neural Network

RTM

Green function of the biharmonic operator, in one and two dimensions, are used for minimum curvature interpolation of irregularly spaced data points.