├── LICENSE ├── README.md ├── chapter1 ├── 1_3_代表的な確率分布.ipynb └── 1_3_近似推論手法.ipynb ├── chapter2 ├── 2_2_PyMC3の概要.ipynb ├── 2_3_Pyroの概要.ipynb ├── 2_4_Numpyroの概要.ipynb └── 2_5_TFPの概要.ipynb ├── chapter3 ├── 3_1_線形回帰モデル_線形単回帰モデル.ipynb ├── 3_2_線形回帰モデル_線形重回帰モデル.ipynb ├── 3_3_一般化線形モデル_ポアソン回帰モデル.ipynb ├── 3_4_一般化線形モデル_ロジスティック回帰モデル.ipynb ├── 3_5_階層ベイズモデル.ipynb ├── 3_6_ガウス過程モデル_ガウス尤度.ipynb └── 3_7_ガウス過程モデル_尤度の一般化.ipynb ├── chapter4 ├── 4_1_ガウス混合モデル.ipynb ├── 4_2_行列分解.ipynb ├── 4_3_状態空間モデル.ipynb ├── 4_4_隠れマルコフモデル.ipynb ├── 4_5_トピックモデル.ipynb └── 4_6_ガウス過程潜在変数モデル.ipynb ├── chapter5 ├── 5_1_ニューラルネットワーク回帰モデル_NumPyro.ipynb ├── 5_1_ニューラルネットワーク回帰モデル_PyTorch.ipynb ├── 5_1_ニューラルネットワーク回帰モデル_Pyro.ipynb ├── 5_2_変分自己符号化器.ipynb ├── 5_3_PixelCNN.ipynb ├── 5_4_深層ガウス過程.ipynb ├── 5_5_正規化流_変分推論.ipynb └── 5_5_正規化流_最尤法.ipynb └── requirements.txt /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sammy-suyama/PythonBayesianMLBook/HEAD/LICENSE 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