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Name: koki madono
Type: User
Bio: Ph.D student in Waseda Unviersity
Location: Tokyo,In Akishima
Name: koki madono
Type: User
Bio: Ph.D student in Waseda Unviersity
Location: Tokyo,In Akishima
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.
latex template for various conferences
An optimizer that trains as fast as Adam and as good as SGD.
Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
in progress
Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)
Code for paper - D. Temel and G. AlRegib, “BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment “, the IEEE International Conference on Multimedia and Expo , Seattle, USA, Jul. 11-15, 2016.
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
Code for Adaptation Network introduced in "Block-wise Scrambled Image Recognition Using Adaptation Network" paper (AAAI WS 2020)
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
A flexible framework of neural networks for deep learning
Object Detection with Faster R-CNN in Chainer
Chainer implementation of recent GAN variants
Chainer implementation of MNIST using CNN
Chainer version of Realtime Multi-Person Pose Estiamtion
ChainerCV: a Library for Deep Learning in Computer Vision
Simple chess without any character but the chess!
CNN全般に関する勉強&調査
PyTorch dataset for CUB-200-2011
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
My code snippets for computer vision.
A PyTorch implementation of Cyclical Learning Rates
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Differentiable Data Augmentation Library
PyTorch implementation of the CVPR 2018 paper Deep Image Prior by Dmitry Ulyanov et. al.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.