fastai experiments
I'm currently taking the ongoing (yet to be released) version of the fastai course and also reading the fastai book alongside. This repository contains experiments and personal projects that I would be working on as I go through the course.
Projects
- COVID-19 Mask Types
- Under the hood - MNIST full
- Basic Learner Implementation
- Plant Pathology 2020 - FGVC7
- mixup
5. mixup
Implementation of the mixup paper in PyTorch and fastai.
4. Plant Pathology 2020 - FGVC7
Identify the category of foliar diseases in apple trees from the Plant Pathology competition on Kaggle. Folder contains series of notebooks that document different approaches used.
3. Basic Learner Implementation
Implements a Learner from scratch based on the training loop in chapter 4 of the fastai book.
2. Under the hood: MNIST full
This notebook reproduces chapter 4 of the fastai book on the full MNIST dataset.
1. COVID-19 Mask Types
We are all caught up in the middle of a global pandemic. The novel corona virus is affecting 199 countries and territories around the world. Many are being encouraged to wear masks as it prevents you from spreading the virus if you're infected and also reduces the chances of contracting the virus.
I built an image classifier to identify the different types of masks that are being used namely: N95 respirators and surgical masks. There is an increase in the use of home made masks but I wasn't able to curate a dataset of these masks.