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pytorch_fnet

Three dimensional cross-modal image inference

pytorch_semantic_segmentation

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

radam

On The Variance Of The Adaptive Learning Rate And Beyond

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

remote-sensing

Remote sensing: objects recognition on the satellite images using Keras.

remote-sensing-image-classification

深度学习图像分类的入门教程

remote-sensing-image-generation

Generate RS Images using Generative Adversarial Networks (GAN)

remote-sensing-indices-derivation-tool

Calculate spectral remote sensing indices from satellite imagery

remote-sensing-plot-segmentation-and-extraction-based-on-few-samples

2021MathorCup高校数学建模挑战赛大数据竞赛B题-遥感地块分割-国家一等奖

remote-sensing-with-python

remote_sensing_object_detection_2019

2019年遥感图像稀疏表征与智能分析竞赛-初赛排名26/605

remotegan

Generative adversarial network for remote sensing

reservoir-id-cnn

Human-Made Reservoir Identification using convolutional neural network.

resnet-for-hyperspectral-image-classification

Res-3D-CNN for hyperspectral image classification.

restnetcgan

Classification of Hyperspectral Images Using a Novel ResNet-based GAN network

rnn-pixel-prediction

In-painting: Implement LSTM based pixel prediction to predict the missing pixel in an image

road_extraction_remote_sensing

Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)

road_segmentation_pytorch

roaddetector

Winning Solutions from SpaceNet Road Detection and Routing Challenge

s3eresbof

A keras based implementation of S3EResBoF in IEEE TGRS paper "Lightweight Spectral-Spatial Squeeze-and-Excitation Residual Bag-of-Features Learning for Hyperspectral Classification"

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satellite-imagery-experiments

Convolutional Neural Network experiments in satellite image segmentation

satellite-segmentation

scalable_rnn_hsi

Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"

sculpture-gan

3D-DCGAN trained on a corpus of 3D printable objects - as a result, the generations are usually 3D printable

segcaps

Official Implementation of the Paper "Capsules for Object Segmentation".

segmentation

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

segmentation-1

Semantic Segmentation for Pelvic CT image (PyTorch)

segmentation_gandhinagar_iirs

Satellite Image Semantic Segmentation Workflow

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.