Caffe2 VS mxnet

Compare Caffe2 vs mxnet and see what are their differences.

Caffe2

By facebookarchive

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)
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Caffe2 mxnet
- 4
8,443 20,644
- -
0.0 4.1
over 5 years ago 6 months ago
Jupyter Notebook C++
- 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.

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.

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.

What are some alternatives?

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

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

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

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+)

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