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LightGBM is a gradient boosting framework developed by Microsoft. It uses a leaf-wise growth strategy rather than the level-wise growth used by many other frameworks, which often leads to faster train...
CatBoost is a gradient boosting library developed by Yandex. Its standout feature is its ability to handle categorical features automatically without the need for extensive preprocessing (like one-hot...
Zephyr 7B is a highly optimized, conversational model built upon Mistral 7B. It excels in code generation and understanding, offering a surprisingly powerful experience for its size. Its streamlined a...
Microsoft's Phi-3 Mini is celebrated for achieving surprisingly high performance on complex tasks despite its relatively small parameter count. When run locally, it offers incredibly fast inference sp...
RT-Neural is a Python library utilizing the CTranslate2 framework to accelerate transformer model inference. It provides a fast, offline solution suitable for researchers and developers working with l...
