ikki kishida (@nutszebra)
github

nutszebra

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  • Stars
    star
    205
  • Global Rank 120,909 (Top 5 %)
  • Followers 52
  • Following 3
  • Registered almost 10 years ago
  • Most used languages
    Python
         100.0 %
  • Location 🇯🇵 Japan
  • Country Total Rank 2,677
  • Country Ranking
    Python
         368

Top repositories

1

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
Python
54
star
2

googlenet

Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842)
Python
29
star
3

chainer_image_recognition

links of my implementation
16
star
4

SENets

Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)
Python
14
star
5

prelu_net

Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)
Python
11
star
6

shake_shake

Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)
Python
10
star
7

resnext

Implementation of ResNext by chainer (Aggregated Residual Transformations for Deep Neural Networks: https://arxiv.org/abs/1611.05431)
Python
9
star
8

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)
Python
8
star
9

googlenet_v3

Implementation of googlenet-v3 by chainer(Rethinking the Inception Architecture for Computer Vision :https://arxiv.org/abs/1512.00567)
Python
8
star
10

fractal_net

Implementation of FractalNet by chainer (FractalNet: Ultra-Deep Neural Networks without Residuals: https://arxiv.org/abs/1605.07648)
Python
5
star
11

trainer

trainer for chainer
Python
4
star
12

squeeze_net

Implementation of SqueezeNet by chainer (SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size: https://arxiv.org/abs/1602.07360)
Python
4
star
13

vgg

Implementation of VGG by chainer (Very Deep Convolutional Networks for Large-Scale Image Recognition: https://arxiv.org/abs/1409.1556)
Python
4
star
14

wide_residual_net

Implementation of Wide Residual Networks (WRN) by chainer (Wide Residual Networks: https://arxiv.org/abs/1605.07146)
Python
4
star
15

multimodal_word2vec

implementation of Combining Language and Vision with a Multimodal Skip-gram Model
Python
3
star
16

resnet_in_resnet

Implementation of Residual Networks In Residual Networks by chainer (Resnet in Resnet: Generalizing Residual Architectures: https://arxiv.org/abs/1603.08029)
Python
3
star
17

highway_networks

Implementation of Highway Networks by chainer(Training Very Deep Networks :https://arxiv.org/abs/1507.06228)
Python
3
star
18

shampoo

Python
2
star
19

gated_convolutional_networks

Implementation of gated convolutional networks by chainer (Language Modeling with Gated Convolutional Networks :https://arxiv.org/pdf/1612.08083v1.pdf)
Python
2
star
20

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)
Python
2
star
21

pyramidal_residual_networks

Implementation of Pyramidal Residual Networks by chainer (Deep Pyramidal Residual Networks: https://arxiv.org/abs/1610.02915)
Python
2
star
22

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)
Python
2
star
23

swapout

Implementation of Swapout by chainer (Swapout: Learning an ensemble of deep architectures: https://arxiv.org/abs/1605.06465)
Python
1
star
24

Pixel-to-Binary-Embedding

Python
1
star
25

weighted_residual_net

Implementation of Weighted Residuals for Very Deep Networks Depth (WResNet) by chainer (Weighted Residuals for Very Deep Networks: https://arxiv.org/abs/1605.08831)
Python
1
star
26

new_easy_hard

Python
1
star
27

stochastic_depth

Implementation of Deep Networks with Stochastic Depth by chainer (Deep Networks with Stochastic Depth: https://arxiv.org/abs/1603.09382)
Python
1
star
28

network_in_network_with_bn

Implementation of NIN(Network In Network) with BN(Batch Normalization) by chainer
Python
1
star