PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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Updated
May 8, 2024 - Jupyter Notebook
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
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
Tools for detecting wildlife in aerial images using active learning
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
trends.earth - measure land change
R package for spatial analysis and modelling of ecological systems
Systematic conservation prioritization in R
A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
The first-ever paper on the Unix shell written by Ken Thompson in 1976 scanned, transcribed, and redistributed with permission
Mutual Information Tools for protein Sequence analysis in Julia
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Evolutionary Transcriptomics with R
The frontend for Codex, written in React with Material UI components. Codex is active and being used by the research community!
OneZoom Tree of Life Explorer
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
IUCN Red List API Client
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
ArcGIS tools to automate mapping and prioritization of wildlife habitat corridors
Everything I know about machine learning and camera traps.
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