General Machine Learning

Description

The libraries in this application area provide general-purpose machine learning functionality including preprocessing, clustering, regression, support vector classifier, K-nearest neighbors, decision trees, etc. Note that some general machine learning algorithms might not benefit from GPU acceleration as much as Deep Learning.

Projects

4

Lines Committed vs. Age Chart (click to view)

Lines Committed vs. Age Chart (click to view)

Projects

Project

Size Score

Trend Score

Byline

cuML

6.5

5.25

A suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects.

Scikit-learn

8.5

7.0

A Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Shogun

5.0

2.75

Shogun is an open-source machine learning library that offers a wide range of efficient and unified machine learning methods.

Smile

6.25

5.75

Statistical Machine Intelligence & Learning Engine