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antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

artifacts-of-dr-on-hybrid-cnn-for-hsic

The code is associated with the following paper "Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN".

ask

JEI 2019: Adaptive scalable kernel for hyperspectral image classification

assmn

The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).

augmentor

Image augmentation library in Python for machine learning.

auto-cnn-hsi-classification

Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"

autokeras

Accessible AutoML for deep learning.

automatic-target-classification-in-sar-images-using-convolutional-neural-networks

SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.

awesome-aerial-object-detection

A curated list of papers for object detection in aerial scenes and related application resources

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

awesome-noah

:octocat: AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-segmentations

Lots of semantic image segmentation implementations in Tensorflow/Keras

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

baidu-remote-sensing

百度遥感比赛，前百分之一的实验方案

biclstm

Deep BiCLSTM for DDIE

bonnet

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

bowdanet

Source code for BOWDANet

brain-synthesis-lesion-segmentation

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

ca-gan

cacnn

Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN, JSTARS, 2020

caffe-tensorflow

Caffe models in TensorFlow

canopy

Automatic tree species classification from remote sensing data

cao-keras-visualization

Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).