burakekim Goto Github PK

activefire_dl

Classification of active fire pixels from space using deep learning

burakekim.github.io

Burak Ekim personal webpage

captum

Model interpretability and understanding for PyTorch

citation-file-format

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

embedding_occlusion

Embedding-level Input Feature Attribution with Occlusion

ensemble_lclu

This repository contains the code for the paper titled "Deep Neural Network Ensembles for Remote Sensing Land Cover and Land Use Classification"

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

geo_tutorial

This repository contains documentation and code for lecture.

lulcmapping-wv3images-corine-dlmethods

Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images

mapinwild

Contains the code for the paper "MapInWild: A Remote Sensing Dataset to Answer the Question What Makes Nature Wild"

mtl_homoscedastic_srb

This repository contains the code for the paper "A MULTI-TASK DEEP LEARNING FRAMEWORK FOR BUILDING FOOTPRINT SEGMENTATION"

satellite-image-deep-learning

Deep learning with satellite & aerial imagery

seg-grad-cam

pytorch implementation of SEG-GRAD-CAM,which based on grad-cam

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

utils

utils_for_segmentation

wilderness