Alternatives and similar repositories for list_of_recommender_systems

Users that are interested in list_of_recommender_systems are comparing it to the libraries listed below

• NicolasHug / Surprise
  A Python scikit for building and analyzing recommender systems
  ☆6,696Updated 2 months ago
• lyst / lightfm
  A Python implementation of LightFM, a hybrid recommendation algorithm.
  ☆5,015Updated last year
• robi56 / Deep-Learning-for-Recommendation-Systems
  This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
  ☆2,853Updated 5 years ago
• ocelma / python-recsys
  A python library for implementing a recommender system
  ☆1,482Updated 4 years ago
• jfkirk / tensorrec
  A TensorFlow recommendation algorithm and framework in Python.
  ☆1,294Updated 2 years ago
• maciejkula / spotlight
  Deep recommender models using PyTorch.
  ☆3,032Updated 2 years ago
• benfred / implicit
  Fast Python Collaborative Filtering for Implicit Feedback Datasets
  ☆3,717Updated last year
• NVIDIA / DeepRecommender
  Deep learning for recommender systems
  ☆1,694Updated 4 years ago
• songgc / TF-recomm
  Tensorflow-based Recommendation systems
  ☆908Updated 6 years ago
• YuyangZhangFTD / awesome-RecSys-papers
  The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
  ☆815Updated 4 years ago
• recommenders-team / recommenders
  Best Practices on Recommendation Systems
  ☆21,010Updated last week
• tensorflow / recommenders
  TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
  ☆1,980Updated 3 weeks ago
• caserec / CaseRecommender
  Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
  ☆498Updated last year
• practical-recommender-systems / moviegeek
  A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
  ☆930Updated 10 months ago
• muricoca / crab
  Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world…
  ☆1,180Updated 4 years ago
• facebookresearch / dlrm
  An implementation of a deep learning recommendation model (DLRM)
  ☆3,977Updated 2 weeks ago
• cheungdaven / DeepRec
  An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
  ☆1,164Updated 3 years ago
• MaurizioFD / RecSys2019_DeepLearning_Evaluation
  This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural …
  ☆985Updated 2 years ago
• PreferredAI / cornac
  A Comparative Framework for Multimodal Recommender Systems
  ☆994Updated 2 weeks ago
• chihming / competitive-recsys
  A collection of resources for Recommender Systems (RecSys)
  ☆536Updated 3 years ago
• tensorflow / ranking
  Learning to Rank in TensorFlow
  ☆2,781Updated last year
• hongleizhang / RSPapers
  RSTutorials: A Curated List of Must-read Papers on Recommender System.
  ☆6,412Updated last year
• srendle / libfm
  Library for factorization machines
  ☆1,494Updated 5 years ago
• groveco / content-engine
  A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
  ☆537Updated 4 years ago
• caserec / Datasets-for-Recommender-Systems
  This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
  ☆1,071Updated 2 years ago
• facebookresearch / StarSpace
  Learning embeddings for classification, retrieval and ranking.
  ☆3,958Updated 2 years ago
• daicoolb / RecommenderSystem-Paper
  This repository includes some papers that I have read or which I think may be very interesting.
  ☆741Updated 5 years ago
• hexiangnan / neural_collaborative_filtering
  Neural Collaborative Filtering
  ☆1,863Updated 3 years ago
• Coder-Yu / QRec
  QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
  ☆1,633Updated last year
• hongleizhang / RSAlgorithms
  RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.
  ☆715Updated last year