Skip to content

Recommender systems with TensorFlow - DS-ULFRI workshop materials

License

Notifications You must be signed in to change notification settings

janhartman/recsystf

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Recommender systems with TensorFlow

In this repository, you'll find the DS-ULFRI workshop materials.

Authors: Jan Hartman & Martin Jakomin

  • Slides: slides.pdf
  • Jupyter notebooks: notebooks
  • Datasets: datasets

To view the notebooks, either use Google Colab or run them locally. Running them locally will require installing dependencies listed in requirements.txt.

To install the dependencies and start up Jupyter, run the following commands:

python3 -m pip install --user virtualenv
virtualenv --python=python3 recsystf_venv
source recsystf_venv/bin/activate
pip install -r requirements.txt

jupyter-lab

About

Recommender systems with TensorFlow - DS-ULFRI workshop materials

Resources

License

Stars

Watchers

Forks