Understand the project
Practical overview
When it fits
Use it when you want a local, notebook-based way to study deep learning with MindSpore 2.0 or later.
Who it is for
- People learning deep learning with MindSpore.
- Instructors preparing a locally run notebook-based learning session.
Documented uses
- Work through deep-learning examples as Jupyter notebooks using MindSpore.
- Use notebook examples as a starting point for computer-vision or natural-language-processing lessons.
Before you choose
Requirements & limits
- The documented notebook environment uses MindSpore 2.0 or later.
- The README names Ascend, GPU and CPU hardware; it does not provide configuration-specific test results.
- Setup requires installing the repository's listed Python dependencies.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Source-based practical guide
Set up the notebooks in JupyterLab
Prepare the repository and launch JupyterLab for working with its MindSpore learning notebooks.
Before you start
- MindSpore 2.0 or later
- Git, Python, and JupyterLab
- The dependencies listed in the repository's requirements.txt
Steps
Clone https://github.com/lvyufeng/d2l-mindspore.
Change into the d2l-mindspore directory and install dependencies with pip install -r requirements.txt.
Start the notebook environment with jupyter lab.
Expected outcome
JupyterLab starts for working with the repository's notebooks.
Guide limitations
- The README documents setup and launch, but does not establish that every notebook runs without additional setup.
- The README names Ascend, GPU and CPU hardware but provides no configuration-specific test results.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 16 October 2026
- Original website title
- candle-org/d2l-mindspore · Official homepage title · retained in its source language