Pinned Repositories
chainer_image_recognition
links of my implementation
dense_net
Implementation of Densely Connected Convolutional Networks by chainer (Densely Connected Convolutional Networks: https://arxiv.org/abs/1608.06993)
googlenet
Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842)
googlenet_v2
Implementation of googlenet-v2 by chainer (Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: https://arxiv.org/abs/1502.03167)
neural_architecture_search_with_reinforcement_learning_appendix_a
Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
prelu_net
Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)
resnext
Implementation of ResNext by chainer (Aggregated Residual Transformations for Deep Neural Networks: https://arxiv.org/abs/1611.05431)
SENets
Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)
shake_shake
Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)
stochastic_depth
Implementation of Deep Networks with Stochastic Depth by chainer (Deep Networks with Stochastic Depth: https://arxiv.org/abs/1603.09382)
nutszebra's Repositories
nutszebra/SENets
Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)
nutszebra/prelu_net
Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)
nutszebra/shake_shake
Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)
nutszebra/resnext
Implementation of ResNext by chainer (Aggregated Residual Transformations for Deep Neural Networks: https://arxiv.org/abs/1611.05431)
nutszebra/googlenet_v2
Implementation of googlenet-v2 by chainer (Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: https://arxiv.org/abs/1502.03167)
nutszebra/googlenet_v3
Implementation of googlenet-v3 by chainer(Rethinking the Inception Architecture for Computer Vision :https://arxiv.org/abs/1512.00567)
nutszebra/fractal_net
Implementation of FractalNet by chainer (FractalNet: Ultra-Deep Neural Networks without Residuals: https://arxiv.org/abs/1605.07648)
nutszebra/vgg
Implementation of VGG by chainer (Very Deep Convolutional Networks for Large-Scale Image Recognition: https://arxiv.org/abs/1409.1556)
nutszebra/wide_residual_net
Implementation of Wide Residual Networks (WRN) by chainer (Wide Residual Networks: https://arxiv.org/abs/1605.07146)
nutszebra/gated_convolutional_networks
Implementation of gated convolutional networks by chainer (Language Modeling with Gated Convolutional Networks :https://arxiv.org/pdf/1612.08083v1.pdf)
nutszebra/residual_networks_of_residual_networks
Implementation of Residual Networks of Residual Networks by chainer (Residual Networks of Residual Networks: Multilevel Residual Networks: https://arxiv.org/abs/1608.02908)
nutszebra/sha_resnet
Implementation of ShaResNet of Wide Residual Networks by chainer (ShaResNet: reducing residual network parameter number by sharing weights: https://arxiv.org/abs/1702.08782)
nutszebra/new_easy_hard
nutszebra/dense_net
Implementation of Densely Connected Convolutional Networks by chainer (Densely Connected Convolutional Networks: https://arxiv.org/abs/1608.06993)
nutszebra/chainercv
ChainerCV: a Library for Deep Learning in Computer Vision
nutszebra/cvpr2017
You can download all papers in cvpr2017 open access
nutszebra/densenet.pytorch
A PyTorch implementation of DenseNet.
nutszebra/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
nutszebra/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
nutszebra/influence_function
nutszebra/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
nutszebra/pyfishervector
Python implementation for Image Classification based on GMM dictionaries and fisher vectors.
nutszebra/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
nutszebra/qmk_firmware
keyboard controller firmware for Atmel AVR USB family
nutszebra/residual_net
Implementation of Residual Networks (ResNet) by chainer (Identity Mappings in Deep Residual Networks: https://arxiv.org/abs/1603.05027)
nutszebra/ResNeXt-1
Pytorch Implementation for ResNet, ResNeXt and DenseNet
nutszebra/StyleTransfer
Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch
nutszebra/vision
Datasets, Transforms and Models specific to Computer Vision
nutszebra/wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
nutszebra/wide_networks_using_binary_tree
Implementation of Wide Networks using binary tree by chainer (Truncating Wide Networks using Binary Tree Architectures: https://arxiv.org/abs/1704.00509)