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2021zodiac

2021珠海数据开放创新应用大赛(卫星遥感数据分析)

3dcae-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

attention_unet

Raw implementation of attention gated U-Net by Keras

augmentor

Image augmentation library in Python for machine learning.

autoencoder_hyperspectral

I will be implementing convolutional autoencoder on Indian pines dataset and will try and keep some noise in the unlabelled batches

benchmarking-gnns

Repository for benchmarking graph neural networks

bisenet-implementation

Here is a tutorial on how to implement a research Paper with Keras

bisenet-keras-cityscapes

This repo is an implementation of BiSeNet. But it still has some differences compared with the author's.

brain-tumor-segmentation

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

buildingchangedetector

基于U-Net检测卫星图像上的新增建筑

cbam-keras

CBAM implementation on Keras

cbam-keras-master

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

clip-guided-diffusion

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

color_unmixing_based_soft_segmentation

Image Manipulation App

computer_vision_models

back bone models for Unet,Resnet50,renet34,Vgg,

contrastnet

contrastnet-unsupervised-feature-learning-by-autoencoder-and-prototypical-contrastive-learning

Hyperspectral Classification

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

crcenvi

ENI/IDL script for Image Analysis

danet-keras

keras-Dual Attention Network for Scene Segmentation

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

deep-hs-prior

Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-teaching

Deep learning courses for postgraduates

deep-learning-with-python

Deep learning codes and projects using Python

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction