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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.
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Latest capture 2026-07-07 03:14
6 captures since 2026-05-22
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Scanned 2026-07-07 03:14
CMakeLists.txt
c-cpp ecosystem,
0 dependencies
demo/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
gtest/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
python-package/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
python-package/setup.py
python ecosystem,
0 dependencies
R-package/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
scripts/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
windows/xLearn.sln
dotnet ecosystem,
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A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.
scikit-learn: machine learning in Python
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Deep learning library featuring a higher-level API for TensorFlow.
https://xlearn-doc.readthedocs.io/en/latest/index.html
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