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. |
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Projects |
5 |
Lines Committed vs. Age Chart (click to view) |
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Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
6.0 |
5.75 |
A suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. |
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8.5 |
8.0 |
An open-source, low-code machine learning library in Python. |
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8.5 |
5.5 |
A Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. |
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4.5 |
2.0 |
Shogun is an open-source machine learning library that offers a wide range of efficient and unified machine learning methods. |
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5.0 |
2.25 |
Statistical Machine Intelligence & Learning Engine |