MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
AKG(Auto Kernel Generator) is an optimizer for operators in Deep Learning Networks, which provides the ability to automatically fuse ops with specific patterns.
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。
DeepCFD+ 是对 DeepCFD 项目的工程化升级和复现，专注于使用深度学习方法解决计算流体力学(CFD)问题。
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.
MindSpore Golden Stick is a open source deep learning model compression algorithom framework.
OpenMLDB是一个开源机器学习数据库，面向机器学习应用提供正确、高效数据供给。
Ascend Extension for PyTorch
