mlpack VS Dlib

Compare mlpack vs Dlib 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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mlpack Dlib
4 33
4,742 12,928
1.6% -
9.9 7.9
4 days ago 16 days ago
C++ C++
GNU General Public License v3.0 or later Boost Software License 1.0
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.

mlpack

Posts with mentions or reviews of mlpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-23.

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.

What are some alternatives?

When comparing mlpack and Dlib you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

SHOGUN - Shōgun

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

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Boost - Super-project for modularized Boost

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

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

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

examples - TensorFlow examples

NN++ - A small and easy to use neural net implementation for C++. Just download and #include!