#gradient boosting

Denser Retriever is an AI platform that combines keyword search, vector databases, and machine learning rerankers using xgboost. It offers high search accuracy, demonstrated on MTEB datasets, surpassing traditional methods. Suitable for chatbots and semantic search applications, Denser Retriever allows easy installation with Pip or Poetry for rapid deployment across various environments.

CatBoost is a gradient boosting tool known for its speed and accuracy in predictions. It seamlessly manages numerical and categorical data, ideal for various datasets. With built-in GPU support and Apache Spark integration, processing is efficient. It includes visualization tools for better analysis, and extensive documentation is available for easy setup. Engage with the community or contribute to improving CatBoost and solving open issues.