Code
EN

MindSpore 2.3 Officially Released

Improve Dynamic/Static Graphs and Foundation Models

Knowledge Map

Mastering MindSpore: From Beginner to Advanced

MindSpore Activities

Community Communication and Sharing

MindSpore

Now Playing: MindSpore Introduction Animation

Native Distributed Model Training

Provides multiple parallel capabilities for foundation model training, as well as easy-to-use APIs for configuring distributed policies for foundation models, helping developers quickly implement distributed training of high-performance foundation models.

AI4S Converged Computing Framework

Supports AI+HPC full-process programmability and microprogrammable functions, meeting the requirements for flexible programming and heterogeneous parallel acceleration in the AI for Science (AI4S) scenario.

Fully Unleashing Hardware Potential

Provides unified dynamic and static programming, best matches Ascend AI Processor, and maximizes hardware capabilities, helping developers shorten training time and improve inference performance.

Quick Deployment in All Scenarios

Supports quick deployment on the cloud, edge, and mobile devices, enabling excellent resource utilization and privacy protection and allowing developers to focus on the creation of AI apps.

Install

Commands
Click to Installation Guide

Accessing ModelArts

ModelArts helps users quickly create and deploy models and manage the entire AI workflow. Click ModelArts to use MindSpore.

ModelArts
Openl

Repositories

Ecosystem

Provides open source AI research projects, case collections, and task-specific SOTA models and derivatives Go to view all projects

Common Scenarios

Quick Start
An introduction to Huawei Al full stack is given and the implementation of common deep learning tasks is described through the basic MindSpore functions.
Image Classification
The CIFAR-10 dataset is used to describe how MindSpore processes image classification tasks.
Sentiment Analysis
Build an NLP model for text analysis and inference to analyze and classify sentiments.
Generating Cartoon Head Portrait
This tutorial uses the anime face dataset to train a GAN, which is then used to generate anime avatar face images.

Achievements

MindSpore Community Vitality

MindSpore is a deep learning framework in all scenarios, aiming to achieve easy development, efficient execution, and all-scenario coverage.

More Details
0
User
0
Star
0
Issue
0
PR

Developer Ecosystem

Developer Experience (Ascend)
Coming soon…
Open Source
The MindSpore community is looking forward to your participation.
Cooperation with Universities
The MindSpore community is committed to long-term cooperation with universities and research institutes.

Community Partners