AI Coding

CatBoost is an open-source gradient boosting library developed by Yandex that handles categorical data features automatically without complex…

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• Open source

FastAI is a deep learning library that provides high-level components that quickly build neural networks on top of…

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• API
• Open source

LlamaIndex is an open-source data framework that enables developers to ingest, structure, and query custom data sources within…

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• Open source

vLLM is an open-source, high-throughput LLM serving engine designed to speed up model inference and memory management using…

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• Open source

Scikit-learn is an open-source machine learning library for Python featuring tools for data classification, regression, clustering, and dimensional…

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• Open source

XGBoost is an optimized open-source gradient boosting library designed to be highly efficient, flexible, and portable for machine…

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• Open source

LightGBM is a gradient boosting framework developed by Microsoft that uses tree-based learning algorithms for high-efficiency data classification.…

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• Open source

Text Generation Inference is an open-source toolkit built by Hugging Face for deploying and serving large language models…

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• API
• Open source