Minerva VS Recommender

Compare Minerva vs Recommender and see what are their differences.

Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF) (by GHamrouni)
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Minerva Recommender
- -
674 263
- -
0.0 0.0
- almost 2 years ago
C++ C
- BSD 2-clause "Simplified" 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.

Minerva

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

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

Recommender

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

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

What are some alternatives?

When comparing Minerva and Recommender you can also consider the following projects:

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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

Caffe - Caffe: a fast open framework for deep learning.

vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

MeTA - A Modern C++ Data Sciences Toolkit

Porcupine   - On-device wake word detection powered by deep learning

mlpack - mlpack: a fast, header-only C++ machine learning library

faiss-server - faiss serving :)