{"id":21823069,"url":"https://github.com/joisino/otbook","last_synced_at":"2025-06-26T02:04:47.047Z","repository":{"id":110029237,"uuid":"587963980","full_name":"joisino/otbook","owner":"joisino","description":"書籍『最適輸送の理論とアルゴリズム』のサポートページです。","archived":false,"fork":false,"pushed_at":"2024-10-07T12:16:06.000Z","size":19134,"stargazers_count":95,"open_issues_count":0,"forks_count":10,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-07T08:17:55.362Z","etag":null,"topics":["algorithms","machine-learning","optimal-transport"],"latest_commit_sha":null,"homepage":"https://www.amazon.co.jp/dp/4065305144","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg src=\"cover.jpg\" width=50%\u003e\n\u003c/p\u003e\n\n書籍『[最適輸送の理論とアルゴリズム](https://www.amazon.co.jp/dp/4065305144)』のサポートページです。\n\n# ノートブック\n\n以下のノートブックは MIT ライセンスのもと配布されております。商用・非商用問わず自由に利用することができます。\n\nノートブックを実行するには、[PyTorch](https://pytorch.org/) をインストールした後、`pip install -r requirements.txt` により依存関係をインストールしてください。Colab で実行する場合は事前のインストール作業は必要ありません。\n\n### 一覧\n\n|図|アルゴリズム|説明|ファイル|Colab|\n|:----|:----|:----|:----|:----:|\n|図 2.1||点群比較の数値例|[fig2.1.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig2.1.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig2.1.ipynb)|\n|図 2.6||ピクセル色変換|[fig2.6.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig2.6.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig2.6.ipynb)|\n|図 2.7||ピクセル色変換|[fig2.7.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig2.7.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig2.7.ipynb)|\n|図 2.9||点群比較の双対問題|[fig2.9.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig2.9.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig2.9.ipynb)|\n|図 2.14||最適輸送の疎性|[fig2.14.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig2.14.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig2.14.ipynb)|\n|図 2.15||最適輸送の疎性|[fig2.15.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig2.15.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig2.15.ipynb)|\n|図 3.1||エントロピー正則化|[fig3.1.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig3.1.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig3.1.ipynb)|\n||アルゴリズム 3.2|シンクホーンアルゴリズム|[algo3.2.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/algo3.2.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/algo3.2.ipynb)|\n|図 3.4||シンクホーンアルゴリズムの収束速度|[fig3.4.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig3.4.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig3.4.ipynb)|\n|図 3.5|アルゴリズム 3.6|サイズ制約つきクラスタリング|[fig3.5.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig3.5.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig3.5.ipynb)|\n||アルゴリズム 3.7|シンクホーンアルゴリズムによる通常の最適輸送|[algo3.7.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/algo3.7.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/algo3.7.ipynb)|\n||アルゴリズム 4.2|勾配ペナルティ法|[algo4.2.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/algo4.2.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/algo4.2.ipynb)|\n||アルゴリズム 4.4|ワッサースタイン GAN|[algo4.4.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/algo4.4.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/algo4.4.ipynb)|\n||アルゴリズム 5.2|スライスワッサースタイン|[algo5.2.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/algo5.2.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/algo5.2.ipynb)|\n||アルゴリズム 7.1|一般化シンクホーン（不均衡最適輸送）|[algo7.1.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/algo7.1.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/algo7.1.ipynb)|\n|図 8.1||入力が 1 分布のワッサースタイン重心|[fig8.1.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig8.1.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig8.1.ipynb)|\n|図 8.2|アルゴリズム 8.3|図形の要約|[fig8.2.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig8.2.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig8.2.ipynb)|\n|図 8.3|アルゴリズム 8.3|図形モーフィング|[fig8.3.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig8.3.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig8.3.ipynb)|\n|図 8.4||三次元シェイプモーフィング|[fig8.4.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig8.4.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig8.4.ipynb)|\n|図 9.4|アルゴリズム 9.1|グロモフ・ワッサースタイン距離による画像の割り付け|[fig9.4.ipynb](https://github.com/joisino/otbook/blob/main/notebooks/fig9.4.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joisino/otbook/blob/main/notebooks/fig9.4.ipynb)|\n\n# 正誤表\n\n本書の正誤情報は[正誤表](https://github.com/joisino/otbook/blob/main/errata.md)にて公開しています。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoisino%2Fotbook","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoisino%2Fotbook","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoisino%2Fotbook/lists"}