mlpack vs NN++

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mlpack		NN++
	Project
4	Mentions	-
4,787	Stars	228
2.0%	Growth	-
9.9	Activity	0.0
5 days ago	Latest Commit	almost 7 years ago
C++	Language	C++
GNU General Public License v3.0 or later	License	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.

How much C++ is used when it comes to performing quant research?
1 project | /r/quant | 3 Jul 2023

Does C++ have the equivalent of Pandas or Apache Spark? Are there extensive libraries that exist/are being developed that allow you to perform operations with data? Or do people just use a combination of Python & its various libraries (NumPy etc)? If we leave aside the data bit, are there libraries that allow you to develop ML models in C++ (mlpack for instance ) faster & more efficiently compared to their Python counterparts (scikit-learn)? On a more general note, how does C++ fit into the routine of a Quant Researcher? And at what scale does an organization decide they need to start switching to other languages and spend more time developing the code ?
What is the most used library for AI in C++ ?
3 projects | /r/cpp_questions | 23 Jan 2022

mlpack is a great library for machine learning in C++. It's very fast and not too much of a learning curve.
Ensmallen: A C++ Library for Efficient Numerical Optimization
3 projects | news.ycombinator.com | 8 Dec 2021

This toolkit was originally part of the mlpack machine learning library (https://github.com/mlpack/mlpack) before it was split out into a separate, standalone effort.
Top 10 Python Libraries for Machine Learning
14 projects | dev.to | 9 Sep 2021

Github Repository: https://github.com/mlpack/mlpack Developed By: Community, supported by Georgia Institute of technology Primary purpose: Multiple ML Models and Algorithms

NN++

Posts with mentions or reviews of NN++. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning NN++ yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

SHOGUN - Shōgun

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

Caffe2

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