Explore live open-source projects and AI models.

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

An improved and reproducible implementation of a Silver Medal Kaggle NeurIPS Open Polymer Prediction solution, featuring SMILES canonicalization, molecular descriptors, CatBoost/XGBoost models, OOF stacking, and optional PyTorch Geometric GNNs.

A full pipeline AutoML tool for tabular data

The repository to showcase the best framework for tabular data - the Awesome CatBoost

Amazon SageMaker Local Mode Examples

Machine Learning University: Decision Trees and Ensemble Methods

Automation framework for machine learning, forecasting, model evaluation, and interpretation.

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

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