LienM / recpack
GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)
☆19Updated last year
Alternatives and similar repositories for recpack:
Users that are interested in recpack are comparing it to the libraries listed below
- Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems☆28Updated 3 years ago
- embarrassingly shallow autoencoder☆66Updated 2 years ago
- ☆46Updated 10 months ago
- Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendad…☆54Updated 4 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆51Updated 2 years ago
- ☆24Updated 3 years ago
- A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms☆53Updated 3 months ago
- ☆34Updated 6 years ago
- Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems☆70Updated 9 months ago
- High-performance implementation of SLIM-based approaches for Top-N recommendation☆110Updated 3 years ago
- Fast Python KNN-Similarity algorithms for Collaborative Filtering models in Recommender System and others.☆54Updated 2 years ago
- ☆16Updated 5 years ago
- ☆50Updated 4 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 5 years ago
- Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation☆279Updated last month
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆35Updated last year
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 2 years ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆41Updated 2 years ago
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆164Updated 7 months ago
- SANSA - sparse EASE for millions of items☆37Updated last week
- Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.☆25Updated 5 years ago
- ☆101Updated 3 months ago
- ☆61Updated 4 months ago
- RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs☆49Updated 9 months ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆52Updated last year
- Online Ranking with Multi-Armed-Bandits☆18Updated 3 years ago
- Simple but Flexible Recommendation Engine in PyTorch☆132Updated 2 years ago
- Unbiased Learning To Rank Algorithms (ULTRA)☆92Updated last year
- Multiple ways to model user preference in recommender systems☆15Updated 8 months ago