geoexploring's starred repositories
LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
deep_learning_object_detection
A paper list of object detection using deep learning.
DiscordChatExporter
Exports Discord chat logs to a file
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
python3-cookbook
《Python Cookbook》 3rd Edition Translation
Learning-Geospatial-Analysis-with-Python-Third-Edition
Learning Geospatial Analysis with Python – Third Edition, published by Packt
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
DeepNetsForEO
Deep networks for Earth Observation
End-to-end-CD-for-VHR-satellite-image
The project aims to contribute to geoscience community
xView2_scoring
Reference code showing how scores/metrics are computed for the xView2 Challenge
xView2_baseline
Baseline localization and classification models for the xView 2 challenge.
Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
tianchi_CountyAgriculturalBrain_top1
TIANCHI天池 2019县域农业大脑AI挑战赛 1/1520
segmentation-unet-maskrcnn
Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.
SpaceNet_Off_Nadir_Solutions
Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge
iSAID_Devkit
[CVPR'W19-Oral] Official repository for "iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images"
CDTStudioV2
CDTStudioV2 is a lightweight, intelligent desktop app for very-high-resolution remote sensing images processing
CRC4Docker
Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"