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Analyzed 4 months ago. based on code collected over 1 year ago.

Project Summary

MLPACK is a fast C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users.

It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression, least-angle regression, etc.

Tags

algorithms artificial_intelligence classification clustering collaborative_filtering data_mining deep_neural_networks linear_algebra machine_learning optimization pattern_recognition regression

In a Nutshell, MLPACK C++ machine learning library...

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

C++
95%
11 Other
5%

30 Day Summary

Nov 5 2022 — Dec 5 2022

12 Month Summary

Dec 5 2021 — Dec 5 2022
  • 1775 Commits
    Down -19 (1%) from previous 12 months
  • 53 Contributors
    Down -4 (7%) from previous 12 months