This repository contains different deep learning project notebooks that were run using the fastai framework.
Here is a list of the projects contained in this repository, classified according to the domain they belong to.
Vision:
- rainforest-audio: The goal of this project was to build a machine learning model to automate the detection of bird and frog species in tropical soundscape recordings, as part of a Kaggle competition. The models had to be created with limited, acoustically complex training data. My best submission scored a label-weighted label-ranking average precision of 0.71 on the private leaderboard.
Contributions are what make the open source community a great place to learn, inspire, and create. Any contributions you make are really helpful!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingContribution) - Commit your Changes (
git commit -m 'Add some AmazingContribution') - Push to the Branch (
git push origin feature/AmazingContribution) - Open a Pull Request
Does something seem off? Make sure to report it.