zhangyiss/mlx
1
0
Fork 0
mirror of https://github.com/ml-explore/mlx.git synced 2025-09-17 09:18:12 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

docs

Browse Source
This commit is contained in:
Awni Hannun
2023-12-05 14:18:20 -08:00
committed by CircleCI Docs
parent ea288788f8
commit 9ad2650c9d
3 changed files with 7 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/build/html/_sources/index.rst vendored
View File

@@ -1,8 +1,8 @@
MLX
===
MLX is a NumPy-like array framework designed for efficient and flexible
machine learning on Apple silicon.
MLX is a NumPy-like array framework designed for efficient and flexible machine
learning on Apple silicon, brought to you by Apple machine learning research.
The Python API closely follows NumPy with a few exceptions. MLX also has a
fully featured C++ API which closely follows the Python API.
@@ -17,7 +17,7 @@ The main differences between MLX and NumPy are:
- **Multi-device**: Operations can run on any of the supported devices (CPU,
GPU, ...)
The design of MLX is strongly inspired by frameworks like `PyTorch
The design of MLX is inspired by frameworks like `PyTorch
<https://pytorch.org/>`_, `Jax <https://github.com/google/jax>`_, and
`ArrayFire <https://arrayfire.org/>`_. A noteable difference from these
frameworks and MLX is the *unified memory model*. Arrays in MLX live in shared