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University of Minnesota Lion Center
- Minneapolis, MN
- https://www.linkedin.com/in/sarah-huebner-b1ab5140/
Stars
Code to standardize data across multiple classifying platforms and merge for complete datasets
code to process camera trap images from the camera to classified data
AI-Powered Camera-Trap Image Processing
Customisable Windows 10/11 Microsoft Store App removal utility, previously known as Remove-Win10-Apps.
Re-imagining Windows like a minimal OS install, already debloated with minimal impact for most functionality.
In this repository, you will find different useful protocols and functions to analyze camera trap data from the Snapshot Safari Project
Data Migration Code and Scripts for Wildlife Insights Data Providers
R Shiny graphing tools for use with the Snapshot Serengeti biology lab.
Classify camera trap images using machine learning with R Shiny Apps
Everything I know about machine learning and camera traps.
Scripts and such for data management, analysis, visualization, etc.
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Front end for zooniverse/Panoptes
code to process camera trap images from the camera to classified data
Automatically identify animals in camera trap images by training a deep neural network.
Example IPython notebooks for MSI