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..
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data
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bayesian_linear_regression.py
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bayesian_linear_regression_10d.py
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bayesian_linear_regression_ppc.py
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bayesian_linear_regression_tensor.py
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bayesian_nn.py
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beta_bernoulli.py
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beta_bernoulli_map.py
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beta_bernoulli_mh.py
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beta_bernoulli_ppc.py
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factor_analysis.py
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getting_started_example.py
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gp_classification.py
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latent_space_model.py
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mixture_gaussian_mh.py
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normal_hmc.py
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normal_idiomatic_tf.py
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normal_normal.py
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normal_normal_mh.py
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normal_normal_tensorboard.py
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normal_sgld.py
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np_beta_bernoulli.py
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pp_dirichlet_process.py
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pp_persistent_randomness.py
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pp_stochastic_control_flow.py
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pp_stochastic_recursion.py
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probabilistic_pca.py
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probabilistic_pca_subsampling.py
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pymc3_beta_bernoulli.py
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stan_beta_bernoulli.py
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tf_bayesian_linear_regression.py
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tf_bayesian_linear_regression_plot.py
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tf_bayesian_nn.py
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tf_bayesian_nn_analytic_kl.py
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tf_bayesian_nn_separate_weights.py
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tf_bernoulli.py
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tf_beta_bernoulli.py
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tf_beta_bernoulli_map.py
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tf_beta_bernoulli_ppc.py
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tf_beta_bernoulli_prior_predictive_check.py
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tf_convolutional_vae.py
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tf_convolutional_vae_util.py
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tf_gp_classification.py
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tf_hierarchical_logistic_regression.py
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tf_iwvi.py
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tf_latent_space_model.py
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tf_matrix_factorization.py
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tf_mixture_density_network.py
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tf_mixture_density_network_demo.py
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tf_mixture_density_network_slim.py
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tf_mixture_gaussian.py
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tf_mixture_gaussian_laplace.py
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tf_mixture_gaussian_map.py
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tf_normal.py
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tf_normal_normal_map.py
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tf_normal_two.py
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vae.py
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vae_convolutional.py
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vae_convolutional_prettytensor.py
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