mxnet VS Recommender

Compare mxnet vs Recommender and see what are their differences.

mxnet

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

Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF) (by GHamrouni)
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mxnet Recommender
4 -
20,644 263
- -
4.1 0.0
6 months ago almost 2 years ago
C++ C
Apache License 2.0 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.

mxnet

Posts with mentions or reviews of mxnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

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 mxnet and Recommender you can also consider the following projects:

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

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.

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

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.

Caffe2

MeTA - A Modern C++ Data Sciences Toolkit

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

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

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor