hiroshimatsumoto Goto Github PK

.emacs.d

わたしの emacs.d

100nlppractice

100 Practice of NLP

algorithms

Algorithms

apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

c_compiler

9cc

cppcgi

docker sample file for running C++ CGI on nginx server

dataanalysis

データ分析

designpattern

study repo. of Design Patterns

dockerpyapp

base for docker, nginx, uwsgi, flask

dotvim

vim config repository

fzf

:cherry_blossom: A command-line fuzzy finder

gochat

grapher

Code that implements efficient knowledge graph extraction from the textual descriptions

hiroshimatsumoto.github.io

NDS Practice

html_css_practice

HTML&CSSで遊ぶレポジトリ

interpreter

laravel-on-docker

laravel starter

miyanishi.github.io

My Web Site

okashoi.github.io

My Web Site

phoenixtest

Testing Phoenix

playaroundwithwebassembly

play around with WebAssembly

pyoptbook

岩永二郎・石原響太・西村直樹・田中一樹 共著『Pythonではじめる数理最適化－ケーススタディでモデリングのスキルを身につけよう－』（オーム社、2021年）のサポートページです。

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

slidev

Presentation Slides for Developers

submodlib

Summarize Massive Datasets using Submodular Optimization

textsummarization

text summarization