Mutual Information Tools for protein Sequence analysis in Julia

Video and Image Analytics for Multiple Environments

Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching

We are a global network of researchers with field sites investigating hypotheses that involve generalizing across many individuals

AI-Powered Camera-Trap Image Processing

Systematic conservation prioritization in R

OneZoom Tree of Life Explorer

Evolutionary Transcriptomics with R

MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model

The Virginia Tech Massey Herbarium is one of the largest Herbariums in the mid-Atlantic with over 100,000 specimens on file. With the use of code and herbarium resources we can further plant research and conservation. Code located here was either created by or adapted by members of the Herbarium for research. Projects inclue: ENM modeling

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

My personal website

Everything I know about machine learning and camera traps.

Using data from the Federal Aviation Administration spanning 2000-2019, this project seeks to understand wildlife-aviation collisions in the Continental U.S., categorizing data into animal types, airline impacts, and collision details, employing Tableau for visualization.

Ballini & Staffoni et al. (submitted to Hydrobiologia) workflow

Detecting trait differences between a reintroduced and a dispersing eastern quoll population.

Mangrove Flood Risk Assessment 🌳🌊

Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.

Kroenger is a not-for-profit for environmental education and conservation