This is a collection of notes I made over the years to document interesting topics that I learned or had to teach.
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├── .github
│ └── workflows
│ └── generate-readme-tree.yml
├── README.md
├── math
│ ├── cov_matrix_derivative.ipynb
│ └── infimum_supremum.ipynb
├── misc
│ └── solving_sudoku_backtracking.ipynb
├── ml_dl
│ ├── pca.ipynb
│ └── pytorch_nn_tutorial.ipynb
├── rl
│ ├── img
│ │ ├── on-policy-q-learning.png
│ │ └── on-policy-sarsa.png
│ └── on_policy_vs_off_policy.ipynb
├── stats
│ ├── belief_propagation_example.ipynb
│ ├── covariance_intersection_ellipses.ipynb
│ ├── gillespie_algorithm_example.ipynb
│ ├── r_squared_nondecreasing.ipynb
│ ├── variable_elimination_example.ipynb
│ └── variational_inference.ipynb
└── tree.bak
9 directories, 17 files