This is a follow-on to my other ML libraries, samaj and samaj-vision. I originally completed them as part of CS 532 (3D Computer Vision) at Stevens Institute of Technology. The code is src.util package is meant to be reusable, and I hope are helpful to more researchers/engineers in the future.

Please see this tutorial to set up things up: How to Add/Delete Kernels from Jupyter Notebook.

TL;DR:

$ python3 -m venv env
$ source env/bin/activate
(env) $ python -m pip install -r requirementx.txt
$ python -m ipykernel install --name=env

And know you should be able to select "env" as a kernel to use when running your Jupyter server :)

1. Useful equation for finding the dimensions of a feature map outputted by a convolution - inspired the formula I used to compute the padding_distance in ops.py: Stanford CS 231