Gordon MacMillan

Basic Image Classification with Julia on Google Colab

TLDR Check out my ML Flux on Colab Tutorial! If you click on the .ipynb file in github, it contains a link to the Colab notebook at the top of the rendered notebook. Motivation I happened to be browsing the Julia community discourse forums and cam

04 FEBRUARY 2020 CONTINUE READING

NLP and Information Retrieval with Julia

Purpose We are going to talk about a topic often talked about in the context of Python. With many well supported packages and a vibrant community of developers around them, why wouldn’t we use Python? Well, the simplicity and user friendly syntax

05 AUGUST 2019 CONTINUE READING

Imbalanced Class Deep Learning - Building A Loss Function

Purpose I’ve set up this notebook to serve two purposes: One, as documentation for future work on this loss function and how I wrote the code to work in a model training pipeline. Two, this article should serve as a guide to those who are interested

22 JANUARY 2019 CONTINUE READING

OpenMined Introduction

Data is now collected everywhere, from every device. This data is allowing IT departments and organizations to exploit exploit information about consumers and give business users access to platforms and dashboards which, when used properly, inform de

01 OCTOBER 2017 CONTINUE READING

The Missing Django-All-Access Tutorial

The code for this tutorial is in: https://github.com/GdMacmillan/django-all-access_tutorial This post is for people who are looking for a django-all-access tutorial if, for whatever reason, allauth is not able to meet your needs as an 3rd party app

25 JULY 2017 CONTINUE READING