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Repositories in this selection 9 · UTC 2026-11-04
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1—Ddmlc / xgboostScalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlowC++Apache-2.0 · PermissiveInsufficient rank history28,9388,960——2026-11-02
2—MMingchaoZhu / DeepLearningPython for "Deep Learning", the book is "Deep Learning" (Flower Book) mathematical derivation, principle analysis and source code level code implementationPythonMIT · PermissiveInsufficient rank history7,8101,451——2020-06-23
3—Kkserve / kserveStandardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on KubernetesGoApache-2.0 · PermissiveInsufficient rank history6,1821,775——2026-11-02
4—Aalibaba / AlinkAlink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.JavaApache-2.0 · PermissiveInsufficient rank history3,614780——2024-06-07
5—BBayesWitnesses / m2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependenciesPythonMIT · PermissiveInsufficient rank history2,999264——2024-08-03
6—Jjolibrain / deepdetectDeep Learning Server and CLI for Torch and TensorRTC++NOASSERTION · Restricted / unknownInsufficient rank history2,551544——2026-10-30
7—Bbenedekrozemberczki / awesome-decision-tree-papersA collection of research papers on decision, classification and regression trees with implementations.PythonCC0-1.0 · PermissiveInsufficient rank history2,480341——2025-12-28
8—Bbenedekrozemberczki / awesome-gradient-boosting-papersA curated list of gradient boosting research papers with implementations.PythonCC0-1.0 · PermissiveInsufficient rank history1,054165——2026-01-05
9—WWestern-OC2-Lab / Intrusion-Detection-System-Using-Machine-LearningCode for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)Jupyter NotebookMIT · PermissiveInsufficient rank history601162——2026-04-01
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