chainer-ResDrop

Stochastic depth network

Provides a Chainer-based implementation of a network with stochastic depth

Deep Networks with Stochastic Depth implementation by Chainer

GitHub

40 stars
6 watching
8 forks
Language: Python
last commit: over 10 years ago
Linked from 1 awesome list

chainerresdrop

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
dbln/stochastic_depth_kerasA Python implementation of the Stochastic Depth technique for deep neural networks139
yueatsprograms/stochastic_depthA repository providing Torch 7 code for implementing stochastic depth in deep neural networks477
wkentaro/fcnAn implementation of fully convolutional networks in Chainer, a deep learning framework.218
apple2373/chainer-simple-fast-rnnAn implementation of the fast R-CNN object detection algorithm using Chainer and OpenCV.43
xternalz/sdpointA deep learning method for optimizing convolutional neural networks by reducing computational cost while improving regularization and inference efficiency.18
mitmul/chainer-faster-rcnnImplementation of object detection using Faster R-CNN with Chainer deep learning framework288
chainer/chainerrlA deep reinforcement learning library built on top of Chainer.1,179
ha2emnomer/deep-tradingThis is an implementation of a trading algorithm using RNNs to predict stock return prices based on S&P 500 index movements.32
deepvoltaire/fast-scnnAn implementation of a real-time semantic segmentation network with a focus on efficient memory usage and mobile performance.71
jiwei0921/dmraA Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection105
xternalz/wideresnet-pytorchAn implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets.334
claws-lab/jodieA PyTorch implementation of a representation learning framework for dynamic temporal networks362
chaintope/bip-schnorrrbA Ruby implementation of the Schnorr signature scheme over elliptic curves.7
nutszebra/resnet_in_resnetAn implementation of Residual Networks In Residual Networks using Chainer.3
nrcan/ricordeSoftware that generates gridded water depth estimates from flood inundation data using machine learning and algorithms.3