AdaptiveMotorControlLab/AmadeusGPT
We turn natural language descriptions of behaviors into machine-executable code
This project helps behavioral scientists and researchers analyze animal movement from video recordings without writing complex code. You provide video data, optionally with DeepLabCut keypoint files, and natural language questions about animal behavior. It then generates code to quantify and visualize actions, like how long an animal spends in a specific area or its movement trajectory. This is ideal for scientists studying animal behavior, neuroscience, or ethology.
234 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to analyze animal behavior from video data by asking questions in plain English instead of writing code.
Not ideal if you are not working with animal behavior video analysis or prefer to manually write all your analysis code.
Stars
234
Forks
12
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 30, 2025
Commits (30d)
0
Dependencies
10
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