From 8120a3b65cddfb81fc00170f32b94fc78282ff64 Mon Sep 17 00:00:00 2001 From: Awni Hannun Date: Tue, 20 Feb 2024 09:54:49 -0800 Subject: [PATCH] link to other APIs (#715) * link to other APIs * remove sec --- README.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 118cc828e..80114d23e 100644 --- a/README.md +++ b/README.md @@ -11,10 +11,12 @@ brought to you by Apple machine learning research. Some key features of MLX include: - - **Familiar APIs**: MLX has a Python API that closely follows NumPy. - MLX also has a fully featured C++ API, which closely mirrors the Python API. - MLX has higher-level packages like `mlx.nn` and `mlx.optimizers` with APIs - that closely follow PyTorch to simplify building more complex models. + - **Familiar APIs**: MLX has a Python API that closely follows NumPy. MLX + also has fully featured C++, [C](https://github.com/ml-explore/mlx-c), and + [Swift](https://github.com/ml-explore/mlx-swift/) APIs, which closely mirror + the Python API. MLX has higher-level packages like `mlx.nn` and + `mlx.optimizers` with APIs that closely follow PyTorch to simplify building + more complex models. - **Composable function transformations**: MLX supports composable function transformations for automatic differentiation, automatic vectorization,