CRU-Net

Residual unit sharer

A deep learning framework that enables sharing of residual units through collective tensor factorization to improve neural network performance.

GitHub

45 stars
6 watching
12 forks
last commit: over 9 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
xternalz/wideresnet-pytorchAn implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets.334
tengshaofeng/residualattentionnetwork-pytorchImplementing a deep learning framework for image classification using Residual Attention Network architecture682
kimhc6028/relational-networksA PyTorch implementation of a neural network module for relational reasoning in computer vision tasks809
l0sg/relational-rnn-pytorchAn implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling245
pistony/residualattentionnetworkA Gluon implementation of Residual Attention Network for image classification tasks108
muyang0320/tensorflow-deeplab-resnet-crfAn implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation18
zhanghang1989/pytorch-encodingA Python framework for building deep learning models with optimized encoding layers and batch normalization.2,044
jhcho99/coformerAn implementation of a deep learning model for grounding situation recognition in images45
guillaume-chevalier/har-stacked-residual-bidir-lstmsAn implementation of a deep neural network architecture for Human Activity Recognition using stacked residual bidirectional LSTM cells with TensorFlow.319
rksltnl/deep-metric-learning-cvpr16A software framework for building deep metric learning models using lifted structured feature embedding346
kuangjuihsu/deepco3A deep learning framework for instance co-segmentation and object colocalization137
jt827859032/drrn-pytorchA PyTorch implementation of a deep learning model for super resolution194
zhengwang100/rectA deep learning framework for graph representation learning with partially labeled data19
bruinxiong/modified-crunet-and-residual-attention-network.mxnetAn MXNet implementation of a modified deep neural network architecture for image classification67
nexusapoorvacus/deepvariationstructuredrlAn implementation of reinforcement learning for visual relationship and attribute detection using PyTorch.63