This repository aims at prototyping a pure NumPy interface above MXNet backend. The key features include:

• Autograd support. Automatic gradient generation.
• Seamless MXNet symbol integration.
• Graceful fallback for missing operations to NumPy.
• Transparent device and partition specification.

Currently both MXNet and MinPy are going through rapid development. MinPy is not guaranteed to work with all MXNet versions.

This version of MinPy is tested to work with MXNet at 3fb29a3.

The project is still a work-in-progress. You could look at this tutorial to understand its concept. Documents are hosted here.

pip install minpy

In one word, if you have NumPy code, you could replace the import by:

import minpy.numpy as np

Other numpy code remain the same. And you could have:

• Auto differentiation support.
• Speed up with some operations executed on GPUs.
• Missing operations will fall back to NumPy version automatically.
• Hybrid programming with efficient MXNet's symbol and flexible MinPy arrays.