deepdumbo Goto Github PK

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

guaranteed-tensor-recovery-fused-low-rankness-and-smoothness

The released code of t-CTV algorithms, mainly proposed in the paper "Guaranteed Tensor Recovery Fused Low-rankness and Smoothness"

guide-cbir

Guide to the Content Based Image Retrieval

gum

gvnn

gvnn: Geometric Vision with Neural Networks

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym_torcs

ha_deblur

Human-Aware Motion Deblurring (ICCV2019)

hamburg_mrf_workshop_vumc_results

Results using the Vanderbilt MR fingerprinting patch acquired at the Philips Research MRF workshop held in Hamburg in August 2017.

hashnerf-pytorch

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

hggdp

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction

hicu

A convolutional framework for calibrationless MRI

hkgm

One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction

hmri-toolbox

A toolbox for quantitative MRI and in vivo histology using MRI (hMRI)

hnhotv_ogs

Hybrid higher order non-convex total variation with overlapping group sparsity image denoising

hosvd-denoising-project

MATLAB code for HOSVD of a video file