mlx-learn: Apple Silicon Accelerated Classical ML

The author announced the release of mlx-learn, a project designed to bring Apple silicon acceleration to classical machine learning algorithms. The software achieves up to a 30X speedup for training and a 300X speedup for inference while maintaining the same API and matching results as scikit-learn. Open article →