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aksnzhy / 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.

Repository stars
3,091All-time #18,603
Fork
514
Last push
updated 3 years ago
Repository created
since 2017
Apps & systemsGeneralC++Apache-2.0 · Permissive
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Summarised by AI from the README; the original prevails

Author description: 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.

Basic listing based on official public information; functionality has not been independently evaluated.

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  • No pushes for over 6 months (last 2023-08-28); check whether it is maintained.
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Star trend

Includes values estimated from GitHub history
3,0883,0893,09010-0710-1210-1710-2210-2711-0111-05
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 09:25 UTC3,091Source
2026-11-02 19:00 UTC3,090Source

First collected 2026-11-03Measured at 2026-11-06 09:25 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.