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Python package for occupancy modeling (survey with imperfect detection) suited for deep learning
OccuPYcy is an open-source Python package for site-occupancy modeling with imperfect detection—optimized for deep learning and large-scale, heterogeneous datasets.
- Built on PyTorch for flexibility and scalability
- Supports linear, non-linear, and neural network models for occupancy and detection
- Designed for citizen science and opportunistic data with major sampling and detection biases
You can find the GitHub repository and documentation below. It includes installation instructions, usage examples, and a detailed description of the package’s features and capabilities. Feel free to explore, use, and contribute!
The package is nearly cooked and will be released soon! 🧑🍳 Expected launch: middle of July 2026.