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1. polara polara Public

   Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

   Python 252 23

2. cofida cofida Public archive

   Fast in-memory pytorch dataloaders designed specifically for collaborative filtering data.

   Python 3 2

3. HyperbolicRecommenders HyperbolicRecommenders Public archive

   Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.

   Python 36 7

4. recsys19_hybridsvd recsys19_hybridsvd Public archive

   Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

   Jupyter Notebook 25 14

5. fifty-shades fifty-shades Public archive

   Source code to support ACM RecSys'16 paper "Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks"

   Jupyter Notebook 32 11

6. ipypb ipypb Public

   Python progress bar with rich output that uses native ipython functionality. Widget-free. Works even in JupyterLab.

   Python 39 3