Pinned Repositories
Block-wise-Scrambled-Image-Recognition
Code for Adaptation Network introduced in "Block-wise Scrambled Image Recognition Using Adaptation Network" paper (AAAI WS 2020)
faster_rcnn_pytorch
Faster RCNN with PyTorch
gcce2022_instancewise_center_loss
psivt23_scramblemix
SPG_EI2020
Code of experiments in "Scrambling Parameter Generation to Improve Perceptual Information Hiding" paper (EI 2020)
MADONOKOUKI's Repositories
MADONOKOUKI/LexSimp
Lexical English Simplification, this is project A research's programm(okubo campus's class)
MADONOKOUKI/30days_OS
This repository is for understanding what the OS is. Because of shallow knowledge regarding to Operation System on PC, I try to do it. Regardless of your ability, I hope that some of them look at it.
MADONOKOUKI/chainer
A flexible framework of neural networks for deep learning
MADONOKOUKI/chainer-faster-rcnn
Object Detection with Faster R-CNN in Chainer
MADONOKOUKI/CNN_study
CNN全般に関する勉強&調査
MADONOKOUKI/competitive_pro_C-_library
MADONOKOUKI/CyclicLR_Scheduler_PyTorch
A PyTorch implementation of Cyclical Learning Rates
MADONOKOUKI/deepfeatinterp
Deep Feature Interpolation (CVPR 2017)
MADONOKOUKI/Django_in_news_sites
Please Use this Website
MADONOKOUKI/django_web_tutorial
MADONOKOUKI/experiment_tool
MADONOKOUKI/flickr-images-grab
Given a set of keywords, grab images and their data from Flickr
MADONOKOUKI/focal_loss_pytorch
A PyTorch Implementation of Focal Loss.
MADONOKOUKI/Inception-Score
Inception score for measuring quality of images generating from GAN
MADONOKOUKI/kaggle
Kaggle用に作成したレポジトリ(全くやってない)
MADONOKOUKI/kaggle-porto
MADONOKOUKI/keras
Deep Learning for humans
MADONOKOUKI/Library
競技プログラミング用ライブラリ
MADONOKOUKI/LifeScienceAI
Reference MEMO of LifeScience AI
MADONOKOUKI/machine_learning_coursera
MADONOKOUKI/MGDNN
Difference of Gaussian statistical features based blind image quality assessment: A deep learning approach
MADONOKOUKI/mnist
deep learning test code
MADONOKOUKI/nltk_100_knock
see "http://www.cl.ecei.tohoku.ac.jp/nlp100/#data"
MADONOKOUKI/Octave
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
MADONOKOUKI/procon_library
MADONOKOUKI/Python-scraping
MADONOKOUKI/recruit_challenge
kaggle 最初なので簡単な手法だけ試してみる
MADONOKOUKI/SimulatedAnnealing
Pytorch Optimizer for Simulated Annealing
MADONOKOUKI/Swift_tutorial
自分用でアプリ作りたいので練習用作成
MADONOKOUKI/Theory_of_statics
This repository's code is for the experiments that those data was used on statistical or machine learning's method