Alternatives and similar repositories for crab

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

• ocelma / python-recsys
  A python library for implementing a recommender system
  ☆1,481Updated 4 years ago
• Mendeley / mrec
  A recommender systems development and evaluation package by Mendeley
  ☆570Updated 3 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
• jfkirk / tensorrec
  A TensorFlow recommendation algorithm and framework in Python.
  ☆1,295Updated 2 years ago
• songgc / TF-recomm
  Tensorflow-based Recommendation systems
  ☆907Updated 6 years ago
• chyikwei / recommend
  recommendation system with python
  ☆311Updated 7 years ago
• jadianes / spark-movie-lens
  An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
  ☆827Updated 4 years ago
• quora / qmf
  A fast and scalable C++ library for implicit-feedback matrix factorization models
  ☆461Updated 3 years ago
• ibayer / fastFM
  fastFM: A Library for Factorization Machines
  ☆1,087Updated 3 years ago
• zenogantner / MyMediaLite
  recommender system library for the CLR (.NET)
  ☆507Updated 5 years ago
• srendle / libfm
  Library for factorization machines
  ☆1,494Updated 5 years ago
• coreylynch / pyFM
  Factorization machines in python
  ☆926Updated 5 years ago
• python-recsys / crab
  Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world…
  ☆128Updated 12 years ago
• lenskit / lenskit
  LensKit recommender toolkit.
  ☆976Updated 4 years ago
• MrChrisJohnson / implicit-mf
  Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.
  ☆281Updated 9 years ago
• bartdag / pymining
  A few data mining algorithms in pure python
  ☆469Updated 10 years ago
• lyst / lightfm
  A Python implementation of LightFM, a hybrid recommendation algorithm.
  ☆5,030Updated last year
• ycjuan / kaggle-avazu
  ☆447Updated last year
• lensacom / sparkit-learn
  PySpark + Scikit-learn = Sparkit-learn
  ☆1,154Updated 4 years ago
• jadianes / winerama-recommender-tutorial
  A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
  ☆347Updated 7 years ago
• ycjuan / kaggle-2014-criteo
  ☆1,260Updated last year
• owenzhang / kaggle-avazu
  2nd place solution for Avazu click-through rate prediction competition
  ☆439Updated 10 years ago
• RankSys / RankSys
  Java 8 Recommender Systems framework for novelty, diversity and much more
  ☆277Updated 3 years ago
• caserec / CaseRecommender
  Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
  ☆498Updated last year
• ycjuan / libffm
  A Library for Field-aware Factorization Machines
  ☆1,603Updated last year
• ChangUk / pyCollaborativeFiltering
  User-based and Item-based Collaborative Filtering algorithms written in Python
  ☆71Updated 8 years ago
• geffy / tffm
  TensorFlow implementation of an arbitrary order Factorization Machine
  ☆782Updated 3 years ago
• saimadhu-polamuri / CollaborativeFiltering
  Implementation of Collabrative Filtering way of recommendation engine
  ☆82Updated 2 years ago
• wnzhang / deep-ctr
  An attempt of training DNN models to predict ad click-through rate, implemented with Theano.
  ☆408Updated 8 years ago
• maciejkula / spotlight
  Deep recommender models using PyTorch.
  ☆3,034Updated 2 years ago