LightFM VS gym

Compare LightFM vs gym and see what are their differences.

LightFM

A Python implementation of LightFM, a hybrid recommendation algorithm. (by lyst)

gym

A toolkit for developing and comparing reinforcement learning algorithms. (by openai)
Our great sponsors
  • Scout APM - Less time debugging, more time building
  • SonarQube - Static code analysis for 29 languages.
  • SaaSHub - Software Alternatives and Reviews
LightFM gym
0 66
4,068 27,971
0.8% 1.0%
6.2 9.5
4 months ago 1 day ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LightFM

Posts with mentions or reviews of LightFM. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning LightFM yet.
Tracking mentions began in Dec 2020.

gym

Posts with mentions or reviews of gym. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-18.

What are some alternatives?

When comparing LightFM and gym you can also consider the following projects:

Surprise - A Python scikit for building and analyzing recommender systems

tensorflow - An Open Source Machine Learning Framework for Everyone

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

spotlight - Deep recommender models using PyTorch.

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

MLflow - Open source platform for the machine learning lifecycle

Keras - Deep Learning for humans

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).

carla - Open-source simulator for autonomous driving research.

matrix-factorization - Library for matrix factorization for recommender systems using collaborative filtering