This repo contains code for a project of mine that trains animal classification models using different representation learning approaches. These models are currently trained on the cats vs. dogs dataset from HuggingFace. I did this to learn more about computer vision, representation learning, and training models from scratch.
A blog post about the project can be found on my blog website.
The Animal Classifier has been tested using Python 3.9.
If you are able to get this running on an older version of Python, or the Animal Classifier fails to run on a later version, please open an issue and I will look into it.
You can set up your Python envrionment using any method (e.g., Poetry, pipenv, conda, etc.), but please make sure you have all packages from requirements.txt installed.
NOTE: I have tested this with poetry and included the relevant poetry files.
If you have success with other methods, please let me know and I can add instructions here!
There are two training scripts: train_baseline.ipynb and train_matryoshka.ipynb.
train_baseline.ipynb will train a baseline classification model and train_matryoshka.ipynb will train a classification model using Matryoshka Representation Learning.