Caffe2 VS Caffe

Compare Caffe2 vs Caffe and see what are their differences.

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Caffe2 Caffe
- 6
8,443 33,859
- 0.2%
0.0 0.0
over 5 years ago 2 months ago
Jupyter Notebook C++
- 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.

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.

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.

What are some alternatives?

When comparing Caffe2 and Caffe 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

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

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

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

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

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

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

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

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