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Repositories in this selection 10 · UTC 2026-11-03
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1—EEpistasisLab / tpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.Jupyter NotebookLGPL-3.0 · Share derivative sourceInsufficient rank history10,0571,558——2025-09-11
2—Hh2oai / h2o-3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.Jupyter NotebookApache-2.0 · PermissiveInsufficient rank history7,5202,020——2026-11-02
3—Bbiolab / orange3🍊 :bar_chart: :bulb: Orange: Interactive data analysisPythonNOASSERTION · Restricted / unknownInsufficient rank history5,7361,117——2026-11-02
4—Ssusanli2016 / Machine-Learning-with-PythonPython code for common Machine Learning AlgorithmsJupyter NotebookUnknown · Restricted / unknownInsufficient rank history4,6044,748——2025-06-05
5—Mmicrosoft / FLAMLA fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.Jupyter NotebookMIT · PermissiveInsufficient rank history4,418584——2026-11-03
6—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
7—Bbenedekrozemberczki / awesome-fraud-detection-papersA curated list of data mining papers about fraud detection.PythonCC0-1.0 · PermissiveInsufficient rank history1,841330——2026-01-05
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
10—Nnotsodubeyous / IoT-Network-Intrusion-Detection-System-UNSW-NB15Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 DatasetJupyter NotebookMIT · PermissiveInsufficient rank history20948——2021-09-08
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