The deep-research enables efficient RAG retrieval and multi-source data analysis, supporting intelligent reasoning for automated complex research tasks.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
MindScience is scientific computing kits for various industries based on the converged MindSpore framework.
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.
MindQuantum is a general software library supporting the development of applications for quantum computation.
MindSpore Golden Stick is a open source deep learning model compression algorithom framework.
A visual dashboard for model tuning.
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 Hub is a pre-trained model application tool of the MindSpore ecosystem, serving as a channel for model developers and application developers.
作业查重软件，它实现了程序代码、文档文本、图片之间的相似度检查。a code-similarity, text-similarity and image-similarity computation software for the codes, documents and images of assignment.
