Classical Machine Learning Frameworks

General-purpose libraries for traditional (non-deep) machine learning — regression, classification, clustering and preprocessing — embedded as code in your own application.

44 projects

See methodology for ranking rules; order uses public GitHub metrics within this scenario.

41–44 of 44

Rank Project Stars Forks
41 xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

3.1K 516
42 bolt

10x faster matrix and vector operations

2.5K 174
43 auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

1.7K 309
44 automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

1.9K 180
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