MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
MindQuantum is a general software library supporting the development of applications for quantum computation.
MindSpore Transformers套件的目标是构建一个大模型训练、推理、部署的全流程套件： 提供业内主流的Transformer类预训练模型， 涵盖丰富的并行特性。 期望帮助用户轻松的实现大模型训练。 文档：https://mindformers.readthedocs.io/zh-cn/latest/
MindSpore的vLLM插件，支持基于vLLM框架部署MindSpore模型的推理服务。
MindSpore Hub is a pre-trained model application tool of the MindSpore ecosystem, serving as a channel for model developers and application developers.
MindScience is scientific computing kits for various industries based on the converged MindSpore framework.
A tool box for MindSpore users to enhance model security and trustworthiness.
A lightweight and high-performance service module that helps MindSpore developers efficiently deploy online inference services in the production environment.
MindSpore Graph Learning is an efficient and easy-to-use graph learning framework, which allows researchers and developers to implement graph models according to formula easily and train efficiently.
MindSpore Vision is a foundational library for computer vision research and supports many research projects base on MindSpore like classification, detection, segmentation, tracking, pose and so on.
A high-performance, scalable MindSpore reinforcement learning framework.
