
xlearn
by aksnzhy (personal account)
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. (description from the project’s GitHub page)
Repository facts
- Stars
- 3,092
- Forks
- 515
- Open issues and pull requests
- 194
- Primary language
- C++
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- aksnzhy · Personal account
- Created
- Jun 10, 2017
- Last push
- Aug 28, 2023
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 5,813: rixwew/pytorch-fm
Factorization Machine models in PyTorch
1,080 starsPythonMITLast push Apr 8, 2024
Rank 75: scikit-learn/scikit-learn
scikit-learn: machine learning in Python
67,738 starsPythonBSD-3-ClauseLast push Oct 18, 2026
Rank 591: Data-Centric-AI-Community/fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
13,727 starsPythonMITLast push Sep 11, 2026
Rank 1,141: scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
7,129 starsPythonMITLast push Jun 29, 2026
Rank 2,101: jtablesaw/tablesaw
Java dataframe and visualization library
3,765 starsJavaApache-2.0Last push Aug 8, 2026
Rank 2,515: fbdesignpro/sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
3,131 starsPythonMITLast push Apr 11, 2026