barnabywalker's repositories
deep-specimens
Code used to produce the paper "Harnessing large-scale herbarium image datasets through representation learning".
bioregionalisation
Notes I've made on bioregionalisation
latin_america_antimalarials_analysis
Scripts for analysis in the paper "Plants used traditionally as antimalarials in Latin America: mining the Tree of Life for potential new medicines"
threatened_species_classification_comparison
Code used to compare methods of classifying species as threatened for the submitted paper "The use and abuse of herbarium specimens in evaluating plant extinction risks".
bazr
What the Package Does (One Line, Title Case)
CoordinateCleaner
Automated flagging of common spatial and temporal errors in biological and palaeontological collection data, for the use in conservation, ecology and palaeontology.
deep-delimitation
Delimitation of species using representations learned by deep neural networks
fastai4GLAMS
A study group for v4 of the fastai introduction to deep learning course with a focus on applications in GLAM settings
guidelines-for-automated-assessments
R code for the paper "Evidence-based guidelines for developing automated conservation assessment methods"
kew-huddle-presentation
Basic presentation about ML and plants
kew-image-dataset
Utilities for downloading and using Kew herbarium specimen images
kew_coding_club
A coding club at Kew
LCRapid
Quickly determine if a plant species is likely to be non-threatened (Least Concern - See IUCN Red List) and generate minimal documentation for a Least Concern species IUCN Red List submission via https://connect.iucnredlist.org/ (registration needed)
monographic_db_changes_analysis
Code to reproduce the analysis of changes to a monographic database in the paper "How integrated systematics is harnessing the conservation potential of megadiverse, taxonomically complex groups"
nodiv
the nodiv R package
pykew
Python library for accessing Kew's data services
pyucn
python-based wrapper for the IUCN Red List API
redlist_requester
A simple shiny app to request data from the IUCN Red List API
specimen-masking
Scripts for training a model to produce segmentation masks for herbarium specimens.
tfl-cycle-hire-analysis
A delve into TFL cycle hire numbers to learn more time series analysis
tidyassessments
Model Wrappers for Automated Conservation Assessments