vcoscrato

vcoscrato's Stars

• docker/awesome-compose

  Awesome Docker Compose samples

  Language:HTML34.8k6.7k

• WLiK/LLM4Rec-Awesome-Papers

  A list of awesome papers and resources of recommender system on large language model (LLM).

  1.3k110

• fabiopetroni/libfm_with_BPR

  Language:C++208

• srendle/libfm

  Library for factorization machines

  Language:C++1.5k414

• jfkirk/tensorrec

  A TensorFlow recommendation algorithm and framework in Python.

  Language:Python1.3k222

• ibayer/fastFM

  fastFM: A Library for Factorization Machines

  Language:Python1.1k206

• MrChrisJohnson/logistic-mf

  Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf

  Language:Python15872

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.4k1k

• benfred/implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

  Language:Python3.5k612

• muricoca/crab

  Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

  Language:Python1.2k376

• ocelma/python-recsys

  A python library for implementing a recommender system

  Language:Python1.5k438

• lyst/lightfm

  A Python implementation of LightFM, a hybrid recommendation algorithm.

  Language:Python4.8k691

• KarypisLab/SLIM

  High-performance implementation of SLIM-based approaches for Top-N recommendation

  Language:C11118

• gamboviol/bpr

  Bayesian Personalized Ranking

  Language:Python21287

• Mendeley/mrec

  A recommender systems development and evaluation package by Mendeley

  Language:Python563174

• MaurizioFD/RecSys_Course_AT_PoliMi

  ⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.

  Language:Jupyter Notebook357145

• randommm/nnstacking

  https://arxiv.org/abs/1906.09735

  Language:Python51