npm

mlx

Machine learning framework optimized for Apple silicon chips.

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About

Array framework for Apple silicon

Examples

install machine learning library for python projects$ pip install mlx

run machine learning models on mac with gpu acceleration$ python -c "import mlx.core as mx; print(mx.metal.is_available())"

build neural networks with array operations$ python -c "import mlx.core as mx; a = mx.array([1, 2, 3]); print(a * 2)"

train deep learning models faster on apple silicon$ python train_model.py --framework mlx

use optimized linear algebra for scientific computing$ python -c "import mlx.core as mx; M = mx.random.normal((100, 100)); print(mx.linalg.norm(M))"