[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning and data science techniques, AI-CryptoTrader provides a powerful toolset and advanced trading stratgies for maximizing your cryptocurrency profits.

Handwritten digit recognition with MNIST & Keras

🛰️ Advanced ML system for geomagnetic storm prediction | 96.5% AUC | LightGBM + BiGRU meta-ensemble | 29-year space weather dataset | Production-ready

Official Implementation of Track2Vec: Fairness Music Recommendation with a GPU-Free Customizable-Driven Framework EvalRS-CIKM-2022

A financial fraud detection & credit risk scoring system utilizing a variety of techniques

Ensemble Deep Random Vector Functional Link with Skip Connections (edRVFL-SC) No GPU required • 100× faster training

Python framework for multiple GGUF language models to collaborate on tasks using structured communication patterns, aggregating their outputs into coherent responses.

ML-based fraud detection system. Learning ensemble methods, API design, and feature engineering.

Machine learning system predicting IPL match outcomes with 73.85% accuracy using 16+ years of data. Features Neural Networks, Gradient Boosting, XGBoost, and Random Forest models analyzing team performance, venues, head-to-head records, and toss decisions. Includes interactive CLI for real-time predictions.