mljet VS LightFM

Compare mljet vs LightFM and see what are their differences.

mljet

Minimalistic ML-models auto deployment tool (by qnbhd)
Machine Learning Deploy ML Mlops Python
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LightFM

A Python implementation of LightFM, a hybrid recommendation algorithm. (by lyst)
Machine Learning Recommender Python matrix-factorization learning-to-rank recommender-system
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mljet LightFM
- -
68 4,611
- 0.7%
1.0 4.8
19 days ago 5 months ago
Python Python
MIT License 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.

mljet

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

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

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 mljet and LightFM you can also consider the following projects:

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Surprise - A Python scikit for building and analyzing recommender systems

MindsDB - The platform for customizing AI from enterprise data

tensorflow - An Open Source Machine Learning Framework for Everyone

Metrics - Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

MLflow - Open source platform for the machine learning lifecycle

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

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

python-recsys - A python library for implementing a recommender system

spotlight - Deep recommender models using PyTorch.

mljet vs Sacred LightFM vs Surprise mljet vs MindsDB LightFM vs tensorflow mljet vs Metrics LightFM vs implicit mljet vs H2O LightFM vs MLflow mljet vs bodywork LightFM vs xgboost mljet vs python-recsys LightFM vs spotlight