minpy 0.0.7

Pure NumPy practice with third-party operator integration.

# MinPy

[](https://travis-ci.org/dmlc/minpy)

[](https://badge.fury.io/py/minpy)

This repository aims at prototyping a pure `numpy` interface above [mxnet](https://github.com/dmlc/mxnet) backend. The key features include:

* [Autograd](https://github.com/HIPS/autograd) support.
* Nature MXNet symbol integration.
* Graceful fallback for missing operations.
* Transparent device and partition specification.

How to get started?
-------------------
The project is still a work-in-progress. You could look at this [tutorial](https://github.com/dmlc/minpy/blob/master/examples/demo/minpy_tutorial.ipynb) to understand its concept. Documents are coming soon!

# Easy installation

```
pip install minpy
```

What we really want?
-------------------
In one word, if you have a `numpy` code, you could replace the `import` by:
```python
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.