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!
augmix
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
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
Cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
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
InstaHide
InstaHide: Instance-hiding Schemes for Private Distributed Learning
kornia
Open Source Differentiable Computer Vision Library for PyTorch
MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
PySyft
A library for encrypted, privacy preserving machine learning
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
RKD
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
sewar
All image quality metrics you need in one package.
smop
Small Matlab to Python compiler
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