InfoQ - NumPy https://www.infoq.com InfoQ NumPy feed Apple Open-sources Apple Silicon-Optimized Machine Learning Framework MLX https://www.infoq.com/news/2023/12/apple-silicon-machine-learning/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=NumPy <img src="https://res.infoq.com/news/2023/12/apple-silicon-machine-learning/en/headerimage/apple-silicon-mlx-machine-learning-1702809357413.jpeg"/><p>Apple's MLX combines familiar APIs, composable function transformations, and lazy computation to create a machine learning framework inspired by NumPy and PyTorch that is optimized for Apple Silicon. Implemented in Python and C++, the framework aims to provide a user-friendly and efficient solution to train and deploy machine learning models on Apple Silicon.</p> <i>By Sergio De Simone</i> Apple PyTorch MacOS Python C++ NumPy Development AI, ML & Data Engineering news Sun, 17 Dec 2023 11:00:00 GMT https://www.infoq.com/news/2023/12/apple-silicon-machine-learning/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=NumPy Sergio De Simone 2023-12-17T11:00:00Z /news/2023/12/apple-silicon-machine-learning/en