mlpack VS autodiff

Compare mlpack vs autodiff and see what are their differences.

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mlpack autodiff
4 7
4,742 1,517
1.6% 3.4%
9.9 7.5
4 days ago 8 days ago
C++ C++
GNU General Public License v3.0 or later MIT License
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.

autodiff

Posts with mentions or reviews of autodiff. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-22.

What are some alternatives?

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

tensorflow - An Open Source Machine Learning Framework for Everyone

Dlib - A toolkit for making real world machine learning and data analysis applications in C++

SHOGUN - Shōgun

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

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

examples - TensorFlow examples

CppAD - A C++ Algorithmic Differentiation Package: Home Page

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

RNNLIB - RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

FastAD - FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

Fido - A lightweight C++ machine learning library for embedded electronics and robotics.