Dlib VS Caffe

Compare Dlib vs Caffe and see what are their differences.

Dlib

A toolkit for making real world machine learning and data analysis applications in C++ (by davisking)
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Dlib Caffe
33 6
13,011 33,859
- 0.2%
7.9 0.0
5 days ago 2 months ago
C++ C++
Boost Software License 1.0 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.

Dlib

Posts with mentions or reviews of Dlib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-06.

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 Dlib and Caffe you can also consider the following projects:

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

Caffe2

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

Boost - Super-project for modularized Boost

Face Recognition - The world's simplest facial recognition api for Python and the command line

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

OpenCV - Open Source Computer Vision Library

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

javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

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