I started studying machine learning this year, and I found python in my way to understand how things actually work, so I decided to port a machine learning framework to JavaScript first.

I chose to port MLX, a library focused on Mac GPUs, because I mainly use Mac and I don't want to spend time on NVIDEA's environment, also I believe MLX and JavaScript are perfect match since so many JavaScript developers are using Mac.

The examples of node-mlx (see the Examples section on GitHub) are written in a straightforward way as I'm still a beginner myself, which should make them very easy to understand.

I'm currently still learning basic conceptions and gradually implementing them in JavaScript to understand better. I'll write more examples as part of my learning, and whom want to get updates of the new examples can watch my twitter (handle is the same with hacker news).