koki madono's repositories
Block-wise-Scrambled-Image-Recognition
Code for Adaptation Network introduced in "Block-wise Scrambled Image Recognition Using Adaptation Network" paper (AAAI WS 2020)
chess_java
Simple chess without any character but the chess!
Blind_Accessibility_Papers
Papers about assistive technologies for visual impairments / 視覚障害者支援研究に関する論文の日本語まとめ
capsule-net-pytorch
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
chainer-gan-lib
Chainer implementation of recent GAN variants
Deep-Image-Prior
PyTorch implementation of the CVPR 2018 paper Deep Image Prior by Dmitry Ulyanov et. al.
fashion_mnist_dump
Get Fashion-MNIST data and export them as png files.
HFC
Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
learning-circuits
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
pytorch-AdaIN
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
pytorch_shake_shake
A PyTorch implementation of shake-shake
pytorch_Squeezenet
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
swd-pytorch
Sliced Wasserstein Distance (SWD) in PyTorch
Switchable-Normalization
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
Synchronized-BatchNorm-PyTorch
Synchronized Batch Normalization implementation in PyTorch.
VAE-GAN
Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
video-quality
Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...
wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch