This repository was archived by the owner on Jun 15, 2024. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 3
Expand file tree
/
Copy path_toc.yml
More file actions
151 lines (148 loc) · 7.44 KB
/
_toc.yml
File metadata and controls
151 lines (148 loc) · 7.44 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
format: jb-book
root: intro
parts:
- caption: Introduction
chapters:
- file: notebooks/introduction/mle_coin
- file: notebooks/introduction/variational
- caption: Probability Basics
chapters:
- file: notebooks/probability/sample-space
- file: notebooks/probability/random-variable
- file: notebooks/probability/pmf
- caption: Continuous Probability Distributions
chapters:
- file: notebooks/probability/univariate-normal
- file: notebooks/probability/univariate-normal-expectations
- file: notebooks/probability/mvn-introduction
- file: notebooks/probability/mvn-marginal
- caption: Bayesian ML
chapters:
- file: notebooks/bayesian_ml/2021-03-23-bayesian-ml
- file: notebooks/bayesian_ml/2021-04-14-bayesian-linear-regression
- file: notebooks/bayesian_ml/2021-03-29-bayesian-model-selection
- file: notebooks/bayesian_ml/2021-03-27-Marginal-Likelihood-2
- file: notebooks/bayesian_ml/2021-03-31-derivation-of-marginal-likelihood
- caption: Sampling from Distributions
chapters:
- file: notebooks/sampling/monte-carlo
- file: notebooks/sampling/rejection-sampling-lr
- file: notebooks/sampling/Metropolis-Hastings
- file: notebooks/sampling/2021-03-10-importance-sampling
- file: notebooks/sampling/2021-03-10-rejection-sampling
- file: notebooks/sampling/2022-02-04-sampling-normal.ipynb
- file: notebooks/sampling/2020-04-16-inverse-transform.ipynb
- file: notebooks/sampling/2014-05-01-gibbs-sampling.ipynb
- file: notebooks/sampling/2014-07-01-mcmc_coins.ipynb
- caption: Graphical Models
chapters:
- file: notebooks/graphical_models/2022-02-15-draw-graphical-models.ipynb
- caption: Mixture Models
chapters:
- file: notebooks/mixture_models/2022-02-14-GMM.ipynb
- caption: Information Theory
chapters:
- file: notebooks/information_theory/kl-divergence.ipynb
- file: notebooks/information_theory/jensen-inequality.ipynb
- caption: Variational Models
chapters:
- file: notebooks/variational_models/2022-02-12-variational-inference.ipynb
- caption: Bayesian ML with PyMC
chapters:
- file: notebooks/bayesian_ml_with_pymc/2021-03-11-blr-pymc
- file: notebooks/bayesian_ml_with_pymc/2021-03-12-logistic-bayesian
- file: notebooks/gaussian_processes/2021-03-16-GP-PyMC3
- file: notebooks/gaussian_processes/2021-03-17-lls-gp-pymc3
- caption: Bayesian ML with Pyro
chapters:
- file: notebooks/bayesian_ml_with_pyro/2021-08-20-Bayesian.ipynb
- file: notebooks/bayesian_ml_with_pyro/2022_02_17_pyro_linreg.ipynb
- file: notebooks/bayesian_ml_with_pyro/2022-02-20-condition-pyro.ipynb
- caption: Bayesian ML with PyTorch
chapters:
- file: notebooks/bayesian_ml_with_pytorch/2022-02-09-pytorch-learn-normal.ipynb
- file: notebooks/bayesian_ml_with_pytorch/2022-02-11-pytorch-learn-normal-map.ipynb
- file: notebooks/bayesian_ml_with_pytorch/2022-02-17-ppca.ipynb
- file: notebooks/bayesian_ml_with_pytorch/2022-02-14-logistic-regression.ipynb
- caption: Bayesian ML with Tensorflow Probability
chapters:
- file: notebooks/bayesian_ml_with_tfp/2022-01-26-tfp-distributions.ipynb
- file: notebooks/bayesian_ml_with_tfp/2022-02-07-coin-toss.ipynb
- file: notebooks/bayesian_ml_with_tfp/2022-01-28-tfp-linear-regression.ipynb
- file: notebooks/bayesian_ml_with_tfp/2022-02-05-lr.ipynb
- file: notebooks/bayesian_ml_with_tfp/2022-02-05-simple-dgm.ipynb
- caption: Bayesian ML with Julia
chapters:
- file: notebooks/bayesian_ml_with_julia/2021-09-01-Hello-Julia-Language.ipynb
- caption: Gaussian Processes
chapters:
- file: notebooks/gaussian_processes/2019-08-20-gaussian-processes.ipynb
- file: notebooks/gaussian_processes/2020-03-26-gp.ipynb
- file: notebooks/gaussian_processes/2021-04-15-LLS-GP
- file: notebooks/gaussian_processes/2021-04-15-deep-gp-from-scratch
- file: notebooks/gaussian_processes/2021-04-16-ard-gp
- file: notebooks/gaussian_processes/2021-04-16-GP-vs-DeepGP
- file: notebooks/gaussian_processes/2022-02-23-gp_rff
- file: notebooks/gaussian_processes/2020-03-29-param-learning.ipynb
- file: notebooks/gaussian_processes/2021-09-03-param-learning-sgd.ipynb
- file: notebooks/gaussian_processes/2020-06-26-gp-understand.ipynb
- file: notebooks/gaussian_processes/pyro-deep-gp
- file: notebooks/gaussian_processes/pyro-binary-classification
- file: notebooks/gaussian_processes/simulate-learn-params.ipynb
- caption: Linear Regression
chapters:
- file: notebooks/linear_regression/2022_02_21_coordinate_descent_failure.ipynb
- caption: Generative Adversarial Networks
chapters:
- file: notebooks/gans/2021-05-31-GAN.ipynb
- caption: Hidden Markov Models
chapters:
- file: notebooks/hmms/2013-06-01-hmm_simulate.ipynb
- file: notebooks/hmms/2013-07-01-hmm_continuous.ipynb
- caption: Tensor Factorization
chapters:
- file: notebooks/tensor_factorization/2017-04-19-nmf-out-matrix.ipynb
- file: notebooks/tensor_factorization/2017-04-20-parafac-out-tensor.ipynb
- file: notebooks/tensor_factorization/2017-08-13-mf-autograd-adagrad.ipynb
- file: notebooks/tensor_factorization/2017-04-21-constrained-nmf-cvx.ipynb
- caption: Neural Networks
chapters:
- file: notebooks/neural_networks/2020-03-08-keras-neural-non-linear.ipynb
- file: notebooks/neural_networks/2020-02-28-xor-relu-vector.ipynb
- file: notebooks/neural_networks/2020-03-02-linear-scratch.ipynb
- file: notebooks/neural_networks/2018-01-13-denoising.ipynb
- caption: Expectation Maximization
chapters:
- file: notebooks/em/2014-06-01-em.ipynb
- caption: Recommender Systems
chapters:
- file: notebooks/recommender_systems/2017-12-18-recommend-keras.ipynb
- file: notebooks/recommender_systems/2017-12-29-neural-collaborative-filtering.ipynb
- caption: Active Learning
chapters:
- file: notebooks/active_learning/2018-06-20-active-committee
- file: notebooks/active_learning/2022_01_24_Query_by_Committee.ipynb
- file: notebooks/active_learning/2020-04-21-active-learning-with-bayesian-linear-regression
- file: notebooks/active_learning/2022-03-06-maximal-expected-error-reduction
- caption: JAX
chapters:
- file: notebooks/jax/introduction-jax.ipynb
- file: notebooks/ml_softwares/2022-02-09-autograd-pytorch-jax.ipynb
- file: notebooks/ml_softwares/2017-08-12-linear-regression-adagrad-vs-gd.ipynb
- caption: Others
chapters:
- file: notebooks/others/2021-03-24-sigmoid
- caption: Appendix 1 - Linear Algebra for ML
chapters:
- file: notebooks/appendix_1_-_linear_algebra_for_ml/2021-03-15-eigen
- file: notebooks/appendix_1_-_linear_algebra_for_ml/2021-03-15-determinant
- file: notebooks/appendix_1_-_linear_algebra_for_ml/2021-03-15-Positive-semi-definite
- file: notebooks/appendix_1_-_linear_algebra_for_ml/2022-02-11-matrix.ipynb
- caption: Appendix 2 - Stochastic processes
chapters:
- file: notebooks/appendix_2_-_stochastic_processes/2021-03-19-stochastic-processes
- file: notebooks/appendix_2_-_stochastic_processes/2021-03-17-Stationary-Time_Series
- file: notebooks/appendix_2_-_stochastic_processes/2021-03-23-Stationarity-stochastic-processes
- caption: References
chapters:
- file: notebooks/references/references.md