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gcdn

Deep Graph-Convolutional Image Denoising

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

gconvrnn

Graph convolutional recurrent neural network

gen-storm

The source code for Gen-SToRM: https://arxiv.org/pdf/2102.00034.pdf

generalized-nonconvex-approach-for-low-tubal-rank-tensor-recovery

The released code of IRTNN algorithm, mainly proposed in the paper "Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery" pubiliahed in TNNLS 2022

generative-adversarial-networks

Tutorial on GANs

geodesc

Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

geodesic-active-contour-segmentation

gerardus

Computational biology and medical image processing scripts and programs

giraf

MATLAB implementation of the GIRAF algorithm for convolutional structured low-rank matrix recovery

gl-hosvd

gl-hosvd denoising algorithm

gnn-pytorch

GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.

gnn-recsys

Graph Neural Networks for Recommender Systems

gnnpapers

Must-read papers on graph neural networks (GNN)

google_stock_price_prediction

To predict google stock price by using recurring neual network algorithm in deep learning.

gpdnet

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

gpunufft

gpuNUFFT - An Open-Source GPU Library for 3D Gridding with Direct Matlab Interface

gpusparse

Matlab mex wrappers to cuSPARSE (NVIDIA)

graddl

Adaptive dictionary learning in sparse gradient domain for image recovery

gradient-checkpointing

Make huge neural nets fit in memory

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

grn

This is the code for the TGRS paper "Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising".

group-sparse-nmf-vb

Probabilistic formulation of Group Sparse NMF, variational Bayesian learning.

groupard-code

Grouped Automatic Relevance Determination

groupcdl-tip

Implementation of GroupCDL, CDLNet, and GDLNet image restoration neural networks in Julia.

groupsc

groupsparselp_dereverberation

This code solves multichannel sparse linear prediction using the Least Absolute Deviation (LAD) and Group LASSO (GL) algorithms with applications in dereverberation

gru-rcn

Video classification using convGRU

gsglmtl

Group Guided Sparse Group Lasso Multi-task Learning code. We refer to the paper for details about the model and the optimization algorithms: Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar Zaiane. Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer’s Disease[C]. International Conference on Brain Informatics. Springer, Cham, 2017: 202-212. DOI=https://doi.org/10.1007/978-3-319-70772-3_19