An Automatic Distributed Deep Learning System
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.
BMTrain 是一个高效的大模型训练工具包，可以用于训练数百亿参数的大模型。BMTrain 可以在分布式训练模型的同时，能够保持代码的简洁性。
AKG(Auto Kernel Generator) is an optimizer for operators in Deep Learning Networks, which provides the ability to automatically fuse ops with specific patterns.
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。
Ascend Extension for PyTorch
