Welcome to daart’s documentation!

The daart package is a collection of tools for the discrete classification of animal behaviors using low-dimensional representations of videos (such as skeletons provided by tracking algorithms). daart combines strong supervision, weak supervision, and self-supervision to improve model performance. See the preprint 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

• RNNs - both LSTMs and GRUs

• temporal convolutional networks (TCNs)

Contents:

• Installation
• User guide
  • Organizing your data
  • The configuration files
  • Training
  • Inference
• daart API
  • daart Modules
  • daart Models package

Indices and tables

• Index

• Module Index

• Search Page