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Code for the tutorial on "Opportunities and Challenges for Online Deep Learning" presented at ECML PKDD 2023

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Opportunities and Challenges for Online Deep Learning

This repository contains the code to follow along with the hands-on-tutorial on opportunities and challenges for online deep learning, held at ECML PKDD 2023.

To run the provided code, we suggest creating a new Python environment using e.g. Anaconda or venv.

Setup

To set up your environment, first navigate to the demo's directory in your terminal.

Anaconda

  1. When using Anaconda run

     conda env create --file env.yml
    
  2. Once the installation has finished activate your environment with

     conda activate deep-river-demo
    

Venv

  1. When using venv run

     python3 -m venv deep-river-demo
    
  2. Activate the enviroment on Mac/Linux using

     source deep-river-demo/bin/activate
    

    or on Windows using

     deep-river-demo/Scripts/activate
    
  3. Install the requirements by running

     pip install -r requirements.txt
    

Running the Code

Open the first Jupyter Notebook file using

jupyter lab notebooks/overview.ipynb

and follow along the tutorial by clicking the highlighted links in the outline!

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Code for the tutorial on "Opportunities and Challenges for Online Deep Learning" presented at ECML PKDD 2023

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