HiroshiMatsumoto's repositories
100NLPPractice
100 Practice of NLP
Algorithms
Algorithms
dotvim
vim config repository
PlayAroundWithWebAssembly
play around with WebAssembly
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
DataAnalysis
データ分析
DesignPattern
study repo. of Design Patterns
DockerPyApp
base for docker, nginx, uwsgi, flask
fzf
:cherry_blossom: A command-line fuzzy finder
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
laravel-on-docker
laravel starter
miyanishi.github.io
My Web Site
okashoi.github.io
My Web Site
PhoenixTest
Testing Phoenix
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