Apple Open-sources Apple Silicon-Optimized Machine Learning Framework MLX

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.

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