Explore live open-source projects and AI models.

Joint Optimization of Cascade Ranking Models (WSDM 19)

Simple and efficient tools for data science.

Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles (model stacking), transfer learning.

🎒 An AI/ML-powered, full-stack job-posting fraud copilot delivering calibrated risk scores, natural-language rationales, interactive chatbot, and real-time insights - powered by ONNX/MLflow exports, classical + transformer ensembles, quantization, Optuna hyperparameter tuning, Google AI LLM, and ... Read more

Giải pháp của nhóm "đi thi", đạt được Hạng 3 vòng Về đích với AUC 0.92 trong cuộc thi AICovidVN115m

未来杯房产租金预测算法竞赛，房产租金预测，LightGBM，XGBoost，回归，机器学习

🌳MultiLGBM🌳: A simple multi-objective regression example to show how to trade-off objectives on the Pareto front with a single LGBM model.

This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.

Test LightGBM's Dask integration on different cluster types

A simple version of lightgbm(lightgbm source code analysis). LightGBM源码解析，轻量化GBDT的实现。