GitHub stars · StarDay

1autogluon / autogluonFast and Accurate ML in 3 Lines of CodePythonApache-2.0 · Permissive10,817

2MingchaoZhu / DeepLearningPython for "Deep Learning", the book is "Deep Learning" (Flower Book) mathematical derivation, principle analysis and source code level code implementationPythonMIT · Permissive7,809

3h2oai / 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 · Permissive7,521

4BoltzmannEntropy / interviews.aiIt is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.License not declared4,897

5benedekrozemberczki / awesome-decision-tree-papersA collection of research papers on decision, classification and regression trees with implementations.PythonCC0-1.0 · Permissive2,480

6Minqi824 / ADBenchOfficial Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.PythonBSD-2-Clause · Permissive1,032

7Western-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 · Permissive602

8Western-OC2-Lab / Intrusion-Detection-System-Using-CNN-and-Transfer-LearningCode for intrusion detection system (IDS) development using CNN models and transfer learningJupyter NotebookMIT · Permissive205