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

• Autograd support.
• Nature MXNet symbol integration.
• Graceful fallback for missing operations.
• Transparent device and partition specification.

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

pip install minpy

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

import minpy.numpy as np

# other numpy codes remain the same

and you could have:

• Auto differentiation support.
• Speed up with some operations executed on GPUs.
• Missing operations will not cause "NO IMPLEMENTATION" exception.
• Directly call Caffe's Layer abstraction without any code change.
• Switch between numpy's operators and Caffe's operator as you wish.