NumPy

MLX is an open-source framework developed by Apple's machine learning research team, designed specifically for Apple Silicon chips. It offers a NumPy-like API, supports automatic differentiation and lazy evaluation, aiming to assist developers in efficiently developing, training, and deploying machine learning models on Apple's M-series chips.

NumPy is the core library for scientific computing in Python, offering powerful N-dimensional array objects and a rich set of mathematical functions to facilitate efficient data processing and analysis.

MLX是由苹果机器学习研究团队推出的开源数组计算框架，专为Apple Silicon芯片设计，融合了NumPy、PyTorch等框架的优点，提供高效、灵活的机器学习开发体验。

NumPy是Python语言的核心库，提供强大的N维数组对象和丰富的数学函数，广泛应用于科学计算和数据分析领域。