mlx
MLX is a machine learning framework optimized for Apple Silicon, featuring APIs aligned with NumPy and PyTorch. It includes composable function transformations, lazy computation, dynamic graph construction, and a unified memory model for efficient multi-device operations. Suitable for researchers exploring new ideas, MLX supports diverse examples such as text generation and image synthesis. Available on PyPI, it supports Python, C++, and more, offering a blend of user-friendliness and high efficiency in model training and deployment.
