PyTorch implementation of popular datasets and models in remote sensing tasks (Change Detection, Image Super Resolution, Land Cover Classification/Segmentation, Image-to-Image Translation, etc.) for various Optical (Sentinel-2, La
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.
XBNET that is built on PyTorch combines tree-based models with neural networks to create a robust architecture that is trained by using a novel optimization technique, Boosted Gradient Descent for Tabular Data which increases its