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GitHub / IUCNN / IUCNN
Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IUCNN%2FIUCNN
Stars: 23
Forks: 6
Open Issues: 8
License: None
Language: R
Repo Size: 907 MB
Dependencies:
31
Created: over 3 years ago
Updated: 6 months ago
Last pushed: 2 months ago
Last synced: about 2 months ago
Commit Stats
Commits: 341
Authors: 7
Mean commits per author: 48.71
Development Distribution Score: 0.569
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/IUCNN/IUCNN
Topics: conservation, conservation-prioritization, deep-learning, machine-learning, tensorflow
Files
Dependencies
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/upload-artifact main composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- R >= 4.1 depends
- PVR * imports
- checkmate * imports
- curl * imports
- dplyr * imports
- grDevices * imports
- graphics * imports
- magrittr * imports
- missForest * imports
- rCAT * imports
- raster * imports
- readr * imports
- reticulate * imports
- sf * imports
- stats * imports
- terra * imports
- tidyr * imports
- tidyselect * imports
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