Machine learning: jupyter¶

Our JupyterHub allows you to launch Jupyter notebooks with a simple mouseclick. It gives you access to an interactive environment where you can use Python, R, Julia, etc. for your research and data processing. We offer both plain and GPU-enabled environments.

JupyterHub is available at http://jupyterhub.ilabt.imec.be .

This documentation shows you how to launch a Jupyter-instance, how to add pip/conda-packages, how to request a GPU-enabled environment and more.

Hint

Looking for a quick introduction? Have a look at our 'GPULab and JupyterHub introduction' slidedeck.

For bugreports, questions and feedback:

E-mail us at user-support AT slices-ri.eu

Table of Contents

Overview
Getting started
Configuration
- Docker Image
  - Adding custom software
- Exposing Ports
  - Using Jupyter Server Proxy
  - Using the Exposed Ports field
Fair Use Policy
- Resource usage
- Duration of JupyterHub sessions
Frequently Asked Questions