rexmex VS LightFM

Compare rexmex vs LightFM and see what are their differences.

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rexmex LightFM
1 -
276 4,611
0.0% 0.7%
5.5 4.8
9 months ago 5 months ago
Python Python
- Apache License 2.0
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.

rexmex

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

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.

What are some alternatives?

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

torch-fidelity - High-fidelity performance metrics for generative models in PyTorch

Surprise - A Python scikit for building and analyzing recommender systems

CSrankings - A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

tensorflow - An Open Source Machine Learning Framework for Everyone

ranking - Learning to Rank in TensorFlow

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

MLflow - Open source platform for the machine learning lifecycle

semantic-kitti-api - SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

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

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

spotlight - Deep recommender models using PyTorch.