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.
Star & Fork Trend (18 data points)
Multi-Source Signals
Growth Velocity
aksnzhy/xlearn has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | xlearn | hdbscan | sweetviz | Deep-Learning-with-PyTorch-Tutorials |
|---|---|---|---|---|
| Stars | 3.1k | 3.1k | 3.1k | 3.1k |
| Forks | 515 | 531 | 288 | 1.3k |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | C++ | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | BSD-3-Clause | MIT | N/A |
Capability Radar vs hdbscan
Last code push 955 days ago.
Fork-to-star ratio: 16.6%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.