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a2s2k-resnet

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

advanced-optimizer-with-gradient-centralization

Advanced optimizer with Gradient-Centralization

advanced_gain

Generative Adversarial Network for missing data imputation

angulargrad

Pytorch implementation of AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

axial-attention

Implementation of Axial attention - attending to multi-dimensional data efficiently

beginner-repo

Repository for getting started with git contribution

binarizationdualdiscriminatorgan

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

cada-vae-pytorch

Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

changedetection_wonera

clswgan

coupled-cnns

dcgan-pytorch

PyTorch Implementation of DCGAN trained on the CelebA dataset.

dcrn-2021

Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels

deconvolution

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

deepdeconvresunet

Landslide segmentation using Deep Deconvolutional Residual UNet

f-clswgan

featurefusionunet

Various UNet models for satellite images change detection using OSCD dataset

fgnzsl

gain

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

gbml

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

hetconv3dnet

Official PyTorch implementation of Lightweight Heterogeneous Kernel Convolution forHyperspectral Image Classification with Noisy Labels

hrnet-facial-landmark-detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

hybridsn

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

hybridsn-pytorch

A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

hyperspectral-vision-transformer

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

la-maml

Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"