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Crab - Scikit-Recommender

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  Analyzed 1 day ago

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). The engine aims to provide a rich set of components from which you can construct a customized ... [More] recommender system from a set of algorithms. It is designed for scability, flexibility and performance making use of scientific optimized python packages in order to provide simple and efficient solutions that are acessible to everybody and reusable in various contexts: science and engineering. [Less]

4.21K lines of code

0 current contributors

almost 14 years since last commit

2 users on Open Hub

Inactive
5.0
 
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Apache PredictionIO

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  No analysis available

Apache PredictionIO is an open source machine learning server. It enables developers and data engineers to build smarter web and mobile applications through a simple set of APIs. Admin UI is provided for developers to select and tune algorithms. Some benefits of using Apache PredictionIO: - ... [More] create predictive features quickly with built-in algorithms. - build your own ML algorithms on top of a state-of-the-art infrastructure. - find the best algorithm for your application. - handle big data well - PredictionIO is very scalable. - serve real-time prediction queries through robust APIs and SDKs. [Less]

0 lines of code

11 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: apache_2

Anagnorisis

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  Analyzed about 20 hours ago

Completely local data-management platform with built in trainable recommendation engine

17.6K lines of code

0 current contributors

2 days since last commit

1 users on Open Hub

Low Activity
5.0
 
I Use This

cm-context-related-product-recommendations

  Analyzed 1 day ago

The Context Related Product Recommendations Plugin intelligently displays product suggestions based on the content users are browsing. By offering relevant, context-driven recommendations, it enhances user experience, increases engagement, and helps boost sales with personalized product suggestions.

14.8K lines of code

0 current contributors

10 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
I Use This