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README.md

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 # daart: deep learning for animal action recognition toolbox
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+[![DOI](https://sandbox.zenodo.org/badge/334987729.svg)](https://sandbox.zenodo.org/badge/latestdoi/334987729)
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 A collection of tools for the discrete classification of animal behaviors using low-dimensional representations of videos (such as skeletons provided by tracking algorithms). Our approach combines strong supervision, weak supervision, and self-supervision to improve model performance. See the preprint [here](https://www.biorxiv.org/content/10.1101/2021.06.16.448685v1) for more details. This repo currently supports fitting the 
 following types of base models on behavioral time series data:
 * Dense MLP network with initial 1D convolutional layer