mxnet vs Caffe

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)

Machine Learning Mxnet

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Caffe

Caffe: a fast open framework for deep learning. (by BVLC)

Machine Learning Deep Learning Vision

Source Code

caffe.berkeleyvision.org

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mxnet		Caffe
	Project
4	Mentions	6
20,644	Stars	33,859
-	Growth	0.2%
4.1	Activity	0.0
6 months ago	Latest Commit	2 months ago
C++	Language	C++
Apache License 2.0	License	GNU General Public License v3.0 or later

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.

List of AI-Models
14 projects | /r/GPT_do_dah | 16 May 2023

Click to Learn more...
Introduction to deep learning hardware in the cloud
3 projects | dev.to | 17 Apr 2023

Build – Choose a machine learning framework (such as TensorFlow, PyTorch, Apache MXNet, etc.)
just released my Clojure AI book
4 projects | /r/Clojure | 23 May 2021

Clojure and Python also have bindings to the Apache MXNet library. Is there a reason why you didn't use them in some of your projects?
Can Apple's M1 help you train models faster and cheaper than Nvidia's V100?
2 projects | news.ycombinator.com | 14 Jan 2021

> But you still lose something, e.g. if you use half precision on V100 you get virtually double speed, if you do on a 1080 / 2080 you get... nothing because it's not supported.
That's not true. FP16 is supported and can be fast on 2080, although some frameworks fail to see the speed-up. I filed a bug report about this a year ago: https://github.com/apache/incubator-mxnet/issues/17665
What consumer GPUs lack is ECC and fast FP64.

Caffe

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

List of AI-Models
14 projects | /r/GPT_do_dah | 16 May 2023

Click to Learn more...
Caffe | Deep Learning Framework
1 project | /r/coffee_ai | 3 May 2023
German ad: "Artificial intelligence: the 4 most used drinks will be placed on the main screen"
1 project | /r/ProgrammerHumor | 20 Sep 2022
How do I install Caffe framework on Mac M1?
1 project | /r/MLQuestions | 4 Jan 2022
Una corta intro a las Redes Neuronales Artificiales
2 projects | dev.to | 22 Sep 2021

Caffe de BAIR
Can someone please guide me regarding these different face detection models?
2 projects | /r/learnmachinelearning | 27 May 2021

Caffe is a DL framework just like TensorFlow, PyTorch etc. OpenPose is a real-time person detection library, implemented in Caffe and c++. You can find the original paper here and the implementation here.

What are some alternatives?

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

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

Caffe2

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

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

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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