Recommender VS Caffe2

Compare Recommender vs Caffe2 and see what are their differences.

Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF) (by GHamrouni)
Machine Learning collaborative-filtering C recommendation-engine
Source Code
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Caffe2

By facebookarchive
Machine Learning

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Recommender Caffe2
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263 8,443
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0.0 0.0
almost 2 years ago over 5 years ago
C Jupyter Notebook
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.

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.

Caffe2

Posts with mentions or reviews of Caffe2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Caffe2 yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Recommender and Caffe2 you can also consider the following projects:

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.

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

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

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.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

MeTA - A Modern C++ Data Sciences Toolkit

Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

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

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

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

Recommender vs catboost Caffe2 vs Caffe Recommender vs mxnet Caffe2 vs mxnet Recommender vs vowpal_wabbit Caffe2 vs Pytorch Recommender vs MeTA Caffe2 vs Serpent.AI Recommender vs mlpack Caffe2 vs Porcupine   Recommender vs Caffe Caffe2 vs CoreML-Models