https://github.com/juicedata/juicefs-deeplearning-tutorials

Deep Learning and Data Analytics Techniques with the help of JuiceFS.
https://github.com/juicedata/juicefs-deeplearning-tutorials

data-analysis deep-learning filesystem juicefs machine-learning

Last synced: 3 months ago
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Deep Learning and Data Analytics Techniques with the help of JuiceFS.

• Host: GitHub
• URL: https://github.com/juicedata/juicefs-deeplearning-tutorials
• Owner: juicedata
• License: mit
• Created: 2019-03-15T02:30:10.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-15T15:20:05.000Z (over 6 years ago)
• Last Synced: 2025-02-25T20:08:59.855Z (8 months ago)
• Topics: data-analysis, deep-learning, filesystem, juicefs, machine-learning
• Language: Jupyter Notebook
• Size: 128 KB
• Stars: 2
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Deep Learning on JuiceFS Tutorials

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/juicedata/juicefs-deeplearning-tutorials)

[![Azure Notebooks](https://notebooks.azure.com/launch.svg)](https://notebooks.azure.com/import/gh/juicedata/juicefs-deeplearning-tutorials)

Welcome to Deep Learning on JuiceFS Tutorials. These notebooks are tutorials covering applications of deep learning and data analytics techniques with the help of JuiceFS.

## Contents

- [01. Getting Started](01.Getting-Started.ipynb)

## Run notebooks

If you want to run these notebooks but without installing jupyter environment on your machine you can use Google Colab. Just click [here](https://colab.research.google.com/github/juicedata/juicefs-deeplearning-tutorials).