Pinned Repositories
BERT-NER
BERT_usecases
landcover
Land Cover Mapping
landcover_webtool_git
pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
recommenders
Best Practices on Recommendation Systems
retinal_image_classification
retinal_images
yexing99's Repositories
yexing99/retinal_image_classification
yexing99/BERT-NER
yexing99/BERT_usecases
yexing99/landcover
Land Cover Mapping
yexing99/landcover_webtool_git
yexing99/pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
yexing99/recommenders
Best Practices on Recommendation Systems
yexing99/retinal_images