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.
OpenHarmony documentation | OpenHarmony开发者文档
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.
一个基于java的文档查重比对sdk
