Michio Inoue's Projects
The script resizes the MATLAB figures and arranges them in a grid on the monitor. These figures can be exported in PDF format. The exported figures conforms to IEEE format as default.
This repo provides a sample script to generate PowerPoint report of some statistics experiment.
This repository provides a function that generates a bar chart race plot.
This repo provides some examples of calling COTOHA API from MATLAB. COTOHA API is developed by NTT group with service natural language processing. For details, see https://api.ce-cotoha.com/contents/index.html
This contribution provides the code to train the winning model (2nd place) of the competition "Classical music composers classification" (https://www.nishika.com/competitions/8/summary)
MATLAB creating artistic visualizations
This repository contains a Japanese version of a published repository "Electrophysiology tutorial for neuroscience" by Shubo Chakrabarti https://github.com/mathworks/Electrophysiology-Tutorial-for-Neuroscience
Energy Landscape Analysis Toolbox (ELAT) for MATLAB
This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.
Some MATLAB scrips
This is a practice mini-project to learn HTML, JavaScript, and WebAssembly generated from MATLAB
デモファイル:MATLABを使った予知保全・故障予測
Easily convert MATLAB live scripts to markdown files
MATLAB's live scripts to markdown. The provided function converts your latex (generated from a live script) to markdown so that it could easily produce README.md with MATLAB code, equations, and figures.
拙著『「アルゴリズム×数学」が基礎からしっかり身につく本』(12/25 発売予定)の GitHub ページです。演習問題の解答や、C++ 以外のソースコードなどが掲載されています。ぜひご活用ください。
MATLAB/Simulink 関連ブログの更新をまとめたRSSフィードを配信
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Simple MATLAB to WebAssembly Example
Book on MATLAB with Python
minoue-xx
Source code accompanying O'Reilly book: Machine Learning Design Patterns
This repo provides MATLAB examples for NLP 100 Exercise, which was developed by Prof. Naoaki Okazaki in 2011-2012 for the use in a study group for programming. See https://github.com/taku-ito/nlp100.github.io
MATLAB Implementation of SMOTE related algorithms
This repository provides MATLAB code for the computation described in the book "Statistics for Data Scientists: 50 Essential Concepts." Original R code and data can be found here. https://github.com/andrewgbruce/statistics-for-data-scientists
This contribution provides the code to train the winning model (1st place) of the competition " Predict RUL of Airplane Turbofan Engine" (https://www.nishika.com/competitions/17/summary)