LightFM Alternatives

Similar projects and alternatives to LightFM

• Surprise

  - 5,958 3.6 Python LightFM VS Surprise

  A Python scikit for building and analyzing recommender systems

• tensorflow

  - 177,728 10.0 C++ LightFM VS tensorflow

  An Open Source Machine Learning Framework for Everyone

  

• Mergify

  blog.mergify.com

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  Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.

  

• implicit

  - 3,262 0.0 Python LightFM VS implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

• MLflow

  - 15,269 9.8 Python LightFM VS MLflow

  Open source platform for the machine learning lifecycle

  

• xgboost

  - 24,583 9.5 C++ LightFM VS xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  

• spotlight

  - 2,907 0.0 Python LightFM VS spotlight

  Deep recommender models using PyTorch. (by maciejkula)

• Keras

  - 59,372 9.6 Python LightFM VS Keras

  Deep Learning for humans

  

• Sonar

  www.sonarsource.com

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  Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  

• Crab

  - 1,172 0.0 Python LightFM VS 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). (by muricoca)

  

• scikit-learn

  - 55,910 9.8 Python LightFM VS scikit-learn

  scikit-learn: machine learning in Python

  

• matrix-factorization

  - 15 0.0 Python LightFM VS matrix-factorization

  Library for matrix factorization for recommender systems using collaborative filtering