Alternatives and similar repositories for Recommender-Systems-for-Implicit-Feedback-datasets:

Users that are interested in Recommender-Systems-for-Implicit-Feedback-datasets are comparing it to the libraries listed below

• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆142Updated 8 months ago
• Med-ELOMARI / LightFM-Dataset-Helper
  python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
  ☆20Updated 2 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆176Updated 3 months ago
• psarka / uplift
  ☆34Updated 6 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated 2 years ago
• NVIDIA-Merlin / publications
  ☆61Updated this week
• mkurovski / deep_learning_recsys
  Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
  ☆93Updated 7 years ago
• biarne-a / hm-two-step-reco
  An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
  ☆22Updated 2 years ago
• animeshgoyal9 / Multi-Armed-Bandit-for-cold-user-in-Recommendation-System
  ☆27Updated 5 years ago
• devforfu / pytorch_playground
  PyTorch experiments, demos and tutorials
  ☆61Updated 2 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆144Updated 5 years ago
• paxcema / KerasGRU4Rec
  Keras implementation of GRU4Rec session-based recommender system
  ☆106Updated 7 months ago
• sophwats / learning-to-rank
  ☆44Updated 5 years ago
• Akxay / recommendation_engine
  ☆23Updated 6 years ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆175Updated 7 months ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated last year
• chinchi-hsu / KerasCollaborativeFiltering
  My Keras implementation of Matrix Factorization (MF) and Bayesian Personalized Ranking (BPR)
  ☆29Updated 7 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆84Updated 7 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆132Updated 2 years ago
• DomainGroupOSS / ml-recsys-tools
  ☆16Updated 5 years ago
• fastforwardlabs / session_based_recommenders
  Official repo for FF19: Session-based Recommender Systems
  ☆41Updated 3 years ago
• irecsys / DeepCARSKit
  A Deep Learning Based Context-Aware Recommendation Library
  ☆20Updated 4 months ago
• meabhishekkumar / strata-conference-ca-2018
  environment setup for strata conference 2018
  ☆67Updated 7 years ago
• coveooss / SIGIR-ecom-data-challenge
  ☆101Updated 6 months ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 6 years ago
• domainxz / top-k-rec
  A method collection for top-k recommendation
  ☆63Updated 3 years ago
• PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
  Building Recommender Systems with Machine Learning and AI, published by Packt
  ☆103Updated 2 years ago
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆74Updated 8 years ago
• rosetta-ai / rosetta_recsys2019
  The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
  ☆58Updated 5 years ago