├── .gitignore ├── .travis.yml ├── LICENSE.txt ├── README.md ├── docker ├── Dockerfile ├── Dockerfile-gpu ├── Makefile └── README.md ├── docs ├── CNAME ├── README.md ├── compile.sh ├── css │ ├── normalize.css │ └── skeleton.css ├── deploy.sh ├── generate_api_navbar_and_symbols.py ├── generate_api_toc.py ├── icons │ ├── android-chrome-144x144.png │ ├── android-chrome-192x192.png │ ├── android-chrome-36x36.png │ ├── android-chrome-48x48.png │ ├── android-chrome-72x72.png │ ├── android-chrome-96x96.png │ ├── apple-touch-icon-114x114.png │ ├── apple-touch-icon-120x120.png │ ├── apple-touch-icon-144x144.png │ ├── apple-touch-icon-152x152.png │ ├── apple-touch-icon-180x180.png │ ├── apple-touch-icon-57x57.png │ ├── apple-touch-icon-60x60.png │ ├── apple-touch-icon-72x72.png │ ├── apple-touch-icon-76x76.png │ ├── apple-touch-icon-precomposed.png │ ├── apple-touch-icon.png │ ├── browserconfig.xml │ ├── favicon-16x16.png │ ├── favicon-32x32.png │ ├── favicon-96x96.png │ ├── favicon.ico │ ├── manifest.json │ ├── mstile-144x144.png │ ├── mstile-150x150.png │ ├── mstile-310x150.png │ ├── mstile-310x310.png │ ├── mstile-70x70.png │ └── safari-pinned-tab.svg ├── images │ ├── automated-transformations-0.png │ ├── automated-transformations-1.png │ ├── beta_bernoulli.png │ ├── decoder.png │ ├── dirichlet-process-fig0.png │ ├── dirichlet-process-fig1.png │ ├── dynamic_graph.png │ ├── edward.png │ ├── edward_200.png │ ├── edward_logo.pdf │ ├── gan-fig0.png │ ├── gan-fig1.png │ ├── getting-started-fig0.png │ ├── getting-started-fig1.png │ ├── github-mark.svg │ ├── hierarchical_model_subgraph.png │ ├── inference_structure.png │ ├── linear-mixed-effects-models-fig0.png │ ├── linear-mixed-effects-models-fig1.png │ ├── linear-mixed-effects-models-fig2.png │ ├── linear-mixed-effects-models-fig3.png │ ├── mixture-density-network-fig0.png │ ├── mixture-density-network-fig1.png │ ├── mixture-density-network-fig2.png │ ├── mixture-density-network-fig3.png │ ├── model_infer_criticize.png │ ├── ppc.png │ ├── probabilistic-pca-fig0.png │ ├── probabilistic-pca-fig1.png │ ├── random_variable_ops.png │ ├── supervised-regression-fig0.png │ ├── supervised-regression-fig1.png │ ├── tensorboard-distributions.png │ ├── tensorboard-graphs-0.png │ ├── tensorboard-graphs-1.png │ ├── tensorboard-histograms.png │ ├── tensorboard-scalars.png │ ├── unsupervised-fig0.png │ └── unsupervised-fig1.png ├── pandoc-code2raw.py ├── parser │ ├── README.md │ ├── doc_generator_visitor.py │ ├── generate.py │ ├── generate_lib.py │ ├── parser.py │ ├── pretty_docs.py │ ├── public_api.py │ ├── py_guide_parser.py │ └── traverse.py ├── strip_p_in_li.py └── tex │ ├── apa.csl │ ├── api │ ├── criticism.tex │ ├── data.tex │ ├── index.tex │ ├── inference-classes.tex │ ├── inference-compositionality.tex │ ├── inference-data-subsampling.tex │ ├── inference-development.tex │ ├── inference.tex │ ├── model-compositionality.tex │ ├── model-development.tex │ ├── model.tex │ └── reference.tex │ ├── bib.bib │ ├── community.tex │ ├── contributing.tex │ ├── getting-started.tex │ ├── iclr2017.tex │ ├── index.tex │ ├── license.tex │ ├── template-api.pandoc │ ├── template.pandoc │ ├── troubleshooting.tex │ └── tutorials │ ├── automated-transformations.tex │ ├── batch-training.tex │ ├── bayesian-neural-network.tex │ ├── criticism.tex │ ├── decoder.tex │ ├── gan.tex │ ├── index.tex │ ├── inference-networks.tex │ ├── inference.tex │ ├── klpq.tex │ ├── klqp.tex │ ├── latent-space-models.tex │ ├── linear-mixed-effects-models.tex │ ├── map-laplace.tex │ ├── map.tex │ ├── mixture-density-network.tex │ ├── model.tex │ ├── probabilistic-pca.tex │ ├── supervised-classification.tex │ ├── supervised-regression.tex │ ├── tensorboard.tex │ ├── unsupervised.tex │ └── variational-inference.tex ├── edward ├── __init__.py ├── criticisms │ ├── __init__.py │ ├── evaluate.py │ ├── ppc.py │ └── ppc_plots.py ├── inferences │ ├── __init__.py │ ├── bigan_inference.py │ ├── conjugacy │ │ ├── __init__.py │ │ ├── conjugacy.py │ │ ├── conjugate_log_probs.py │ │ └── simplify.py │ ├── gan_inference.py │ ├── gibbs.py │ ├── hmc.py │ ├── implicit_klqp.py │ ├── inference.py │ ├── klpq.py │ ├── klqp.py │ ├── laplace.py │ ├── map.py │ ├── metropolis_hastings.py │ ├── monte_carlo.py │ ├── replica_exchange_mc.py │ ├── sghmc.py │ ├── sgld.py │ ├── variational_inference.py │ ├── wake_sleep.py │ └── wgan_inference.py ├── models │ ├── __init__.py │ ├── dirichlet_process.py │ ├── empirical.py │ ├── param_mixture.py │ ├── point_mass.py │ ├── random_variable.py │ └── random_variables.py ├── util │ ├── __init__.py │ ├── graphs.py │ ├── metrics.py │ ├── progbar.py │ ├── random_variables.py │ └── tensorflow.py └── version.py ├── examples ├── bayesian_linear_regression.py ├── bayesian_linear_regression_implicitklqp.py ├── bayesian_logistic_regression.py ├── bayesian_nn.py ├── beta_bernoulli.py ├── beta_bernoulli_conjugate.py ├── bigan.py ├── cox_process.py ├── deep_exponential_family.py ├── dirichlet_categorical.py ├── eight_schools │ ├── eight_schools.py │ ├── eight_schools.stan │ └── eight_schools_pystan.py ├── factor_analysis.py ├── gan_synthetic_data.py ├── gan_wasserstein.py ├── gan_wasserstein_synthetic.py ├── invgamma_normal_mh.py ├── irt.py ├── iwvi.py ├── lstm.py ├── mixture_gaussian_gibbs.py ├── mixture_gaussian_mh.py ├── normal.py ├── normal_normal.py ├── normal_sgld.py ├── pp_dirichlet_process.py ├── pp_dynamic_shape.py ├── pp_persistent_randomness.py ├── pp_stochastic_control_flow.py ├── pp_stochastic_recursion.py ├── probabilistic_matrix_factorization.py ├── probabilistic_pca_subsampling.py ├── rasch_model.py ├── sigmoid_belief_network.py ├── stochastic_block_model.py ├── vae.py └── vae_convolutional.py ├── notebooks ├── automated_transformations.ipynb ├── batch_training.ipynb ├── data │ ├── insteval_dept_ranefs_r.csv │ ├── insteval_instructor_ranefs_r.csv │ └── insteval_student_ranefs_r.csv ├── eight_schools.ipynb ├── gan.ipynb ├── getting_started.ipynb ├── iclr2017.ipynb ├── latent_space_models.ipynb ├── linear_mixed_effects_models.ipynb ├── mixture_density_network.ipynb ├── probabilistic_pca.ipynb ├── supervised_classification.ipynb ├── supervised_regression.ipynb ├── tensorboard.ipynb └── unsupervised.ipynb ├── setup.cfg ├── setup.py └── tests ├── criticisms ├── evaluate_test.py ├── metrics_test.py ├── ppc_plots_test.py └── ppc_test.py ├── data ├── generate_test_saver.py ├── generate_toy_data_tfrecords.py ├── strip_markdown.tpl ├── test_saver.data-00000-of-00001 ├── test_saver.index ├── test_saver.meta └── toy_data.tfrecords ├── inferences ├── ar_process_test.py ├── bayesian_nn_test.py ├── conjugacy_test.py ├── gan_inference_test.py ├── gibbs_test.py ├── hmc_test.py ├── implicitklqp_test.py ├── inference_auto_transform_test.py ├── inference_data_test.py ├── inference_debug_test.py ├── inference_integer_test.py ├── inference_reset_test.py ├── inference_scale_test.py ├── klpq_test.py ├── klqp_test.py ├── laplace_test.py ├── map_test.py ├── metropolishastings_test.py ├── replicaexchangemc_test.py ├── saver_test.py ├── sghmc_test.py ├── sgld_test.py ├── simplify_test.py ├── wakesleep_test.py └── wgan_inference_test.py ├── models ├── bernoulli_doc_test.py ├── bernoulli_log_prob_test.py ├── bernoulli_sample_test.py ├── dirichlet_process_sample_test.py ├── empirical_sample_test.py ├── keras_core_layers_test.py ├── param_mixture_sample_test.py ├── param_mixture_stats_test.py ├── point_mass_sample_test.py ├── random_variable_gradients_test.py ├── random_variable_operators_test.py ├── random_variable_session_test.py ├── random_variable_shape_test.py └── random_variable_value_test.py ├── notebooks └── notebooks_test.py └── util ├── check_data_test.py ├── check_latent_vars_test.py ├── copy_test.py ├── dot_test.py ├── get_ancestors_test.py ├── get_blanket_test.py ├── get_children_test.py ├── get_control_variate_coef_test.py ├── get_descendants_test.py ├── get_parents_test.py ├── get_siblings_test.py ├── get_variables_test.py ├── 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