PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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Updated
Jul 11, 2024 - Jupyter Notebook
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
The first-ever paper on the Unix shell written by Ken Thompson in 1976 scanned, transcribed, and redistributed with permission
Video and Image Analytics for Multiple Environments
Tools for detecting wildlife in aerial images using active learning
Systematic conservation prioritization in R
Everything I know about machine learning and camera traps.
trends.earth - measure land change
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
R package for spatial analysis and modelling of ecological systems
A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching
OneZoom Tree of Life Explorer
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
MIToS is a Julia package to analyze protein sequences, structures, and evolutionary information
IUCN Red List API Client
A desktop application that makes using MegaDetector's model easier
Evolutionary Transcriptomics with R
ArcGIS tools to automate mapping and prioritization of wildlife habitat corridors
Interface to the World Database on Protected Areas
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