dummy-problems 0.1.1

Solving simple problems using machine learning

dummy-problems

Solving "simple" problems using machine learning to improve my understanding (and have some fun!).

Project structure

I am mostly following the structure from https://python-poetry.org/docs/basic-usage/#project-setup and https://github.com/Lightning-AI/deep-learning-project-template.

There are three key elements: dataloaders, models, and evaluation. Additionally, visualisation tools will help with development and results.

Dataloaders

Models

Evaluation

Visualisation

Installation

Docker (recommended)

To install the required dependencies and run the code, use a Docker container:

cd docker
docker compose up

Pip (experimental)

To install as a Python package, run:

pip install dummy-problems

Note: published following: https://www.digitalocean.com/community/tutorials/how-to-publish-python-packages-to-pypi-using-poetry-on-ubuntu-22-04

Example 1: generating a synthetic dataset and benchmarking different classifiers.

Firstly, run notebooks/synthetic_data_generation.ipynb to generate a dataset of uppercase grayscale images. Parameters can be easily modified to increase/reduce the size of the images and/or the randomness of the dataset.

Secondly, ...