Path: blob/master/internal/non_figures_url_mapping_book2.csv
1191 views
key,url bnn_mnist_sgld,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/bnn_mnist_sgld.ipynb ab_test_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/33/ab_test_demo.ipynb thompson_sampling_linear_gaussian,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/33/thompson_sampling_linear_gaussian.ipynb bandits,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/33/bandits.ipynb ising_image_denoise_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/ising_image_denoise_demo.ipynb linreg_bayes_svi_hmc_pyro,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/09/linreg_bayes_svi_hmc_pyro.ipynb svi_gmm_demo_2d_tfp,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/09/svi_gmm_demo_2d_tfp.ipynb variational_mixture_gaussians_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/09/variational_mixture_gaussians_demo.ipynb kl_pq_gauss,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/09/kl_pq_gauss.ipynb unigauss_vb_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/09/unigauss_vb_demo.ipynb vb_gmm_tfp,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/09/vb_gmm_tfp.ipynb nix_plots,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/nix_plots.ipynb linreg_divorce_ppc_numpyro,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/linreg_divorce_ppc_numpyro.ipynb lkj_1d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/lkj_1d.ipynb dtheory,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/dtheory.ipynb linreg_post_pred_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/linreg_post_pred_plot.ipynb ebBinom,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/ebBinom.ipynb gauss_infer_2d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/gauss_infer_2d.ipynb maxent_priors,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/maxent_priors.ipynb lkj_numpyro,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/lkj_numpyro.ipynb numbers_game,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/numbers_game.ipynb robust_prior_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/robust_prior_demo.ipynb gauss_seq_update_sigma_1d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/gauss_seq_update_sigma_1d.ipynb gamma_dist_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/gamma_dist_plot.ipynb hbayes_binom_rats_pymc3,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/hbayes_binom_rats_pymc3.ipynb schools8_pymc3,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/schools8_pymc3.ipynb jeffreys_prior_binomial,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/jeffreys_prior_binomial.ipynb fig_3_2,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/fig_3_2.ipynb bimodal_dist_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/bimodal_dist_plot.ipynb gauss_infer_1d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/gauss_infer_1d.ipynb newcomb_plugin_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/03/newcomb_plugin_demo.ipynb newsgroupsVisualize,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/newsgroupsVisualize.ipynb ggm_lasso_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/ggm_lasso_demo.ipynb chow_liu_tree_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/chow_liu_tree_demo.ipynb relevance_network_newsgroup_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/relevance_network_newsgroup_demo.ipynb ggm_fit_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/ggm_fit_demo.ipynb parzen_window_demo2,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/19/parzen_window_demo2.ipynb vae_celeba_lightning,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/19/vae_celeba_lightning.ipynb vae_compare_results,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/vae_compare_results.ipynb berksons_gaussian,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/04/berksons_gaussian.ipynb gibbs_demo_potts_jax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/04/gibbs_demo_potts_jax.ipynb student_pgm,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/04/student_pgm.ipynb rbm_contrastive_divergence,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/04/rbm_contrastive_divergence.ipynb hopfield_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/04/hopfield_demo.ipynb gibbs_demo_ising,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/04/gibbs_demo_ising.ipynb mlpPriorsDemo2,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/16/mlpPriorsDemo2.ipynb randomized_priors,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/16/randomized_priors.ipynb bnn_hierarchical_blackjax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/16/bnn_hierarchical_blackjax.ipynb hbayes_figures2,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/16/hbayes_figures2.ipynb ekf_mlp,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/16/ekf_mlp.ipynb random_walk_integers,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/random_walk_integers.ipynb funnel_numpyro,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/funnel_numpyro.ipynb slice_sampling_demo_1d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/slice_sampling_demo_1d.ipynb mcmc_traceplots_unigauss,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/mcmc_traceplots_unigauss.ipynb slice_sampling_demo_2d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/slice_sampling_demo_2d.ipynb fig_11_20,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/fig_11_20.ipynb mcmc_traceplots_unigauss_numpyro,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/mcmc_traceplots_unigauss_numpyro.ipynb gibbs_gauss_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/gibbs_gauss_demo.ipynb rhat_slow_mixing_chains,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/rhat_slow_mixing_chains.ipynb mcmc_gmm_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/mcmc_gmm_demo.ipynb neals_funnel,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/11/neals_funnel.ipynb gp_deep_kernel_learning,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gp_deep_kernel_learning.ipynb gpc_demo_2d_sklearn,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gpc_demo_2d_sklearn.ipynb gp_spatial_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gp_spatial_demo.ipynb gprDemoNoiseFree,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gprDemoNoiseFree.ipynb krr_vs_gpr,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/krr_vs_gpr.ipynb gp_kernel_opt,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gp_kernel_opt.ipynb combining_kernels_by_summation,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/combining_kernels_by_summation.ipynb gprDemoArd,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gprDemoArd.ipynb gpKernelPlot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gpKernelPlot.ipynb gp_spectral_mixture,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gp_spectral_mixture.ipynb gprDemoChangeHparams,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gprDemoChangeHparams.ipynb gpr_demo_marglik,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gpr_demo_marglik.ipynb gp_poisson_1d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/gp_poisson_1d.ipynb combining_kernels_by_multiplication,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/17/combining_kernels_by_multiplication.ipynb pendulum_1d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/pendulum_1d.ipynb smc_ibis_1d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/smc_ibis_1d.ipynb pf_guided_neural_decoding,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/pf_guided_neural_decoding.ipynb rbpf_maneuver,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/rbpf_maneuver.ipynb rbpf_maneuver_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/rbpf_maneuver_demo.ipynb bootstrap_filter_maneuver,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/bootstrap_filter_maneuver.ipynb sis_vs_smc,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/sis_vs_smc.ipynb bootstrap_filter,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/bootstrap_filter.ipynb smc_tempered_1d_bimodal,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/12/smc_tempered_1d_bimodal.ipynb softmax_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/13/softmax_plot.ipynb GAN_loss_types,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/25/GAN_loss_types.ipynb genmo_types_implicit_explicit,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/25/genmo_types_implicit_explicit.ipynb gan_mixture_of_gaussians,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/25/gan_mixture_of_gaussians.ipynb GAN_JAX_CelebA_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/25/GAN_JAX_CelebA_demo.ipynb IPM_divergences,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/25/IPM_divergences.ipynb DiracGAN,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/25/DiracGAN.ipynb activation_fun_deriv_jax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/15/activation_fun_deriv_jax.ipynb lecun1989_flax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/15/lecun1989_flax.ipynb stick_breaking_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/30/stick_breaking_demo.ipynb dp_mixgauss_sample,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/30/dp_mixgauss_sample.ipynb var_em_bound,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/06/var_em_bound.ipynb simulated_annealing_2d_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/06/simulated_annealing_2d_demo.ipynb emLogLikelihoodMax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/06/emLogLikelihoodMax.ipynb nat_grad_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/06/nat_grad_demo.ipynb gauss_imputation_em_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/06/gauss_imputation_em_demo.ipynb gradient_expected_value_gaussian,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/06/gradient_expected_value_gaussian.ipynb logreg_laplace_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/logreg_laplace_demo.ipynb logreg_prior,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/logreg_prior.ipynb adf_logistic_regression_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/adf_logistic_regression_demo.ipynb fig_14_5,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/fig_14_5.ipynb probitRegDemo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/probitRegDemo.ipynb linreg_hierarchical_non_centered_blackjax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/linreg_hierarchical_non_centered_blackjax.ipynb probit_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/probit_plot.ipynb linreg_height_weight_numpyro,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/linreg_height_weight_numpyro.ipynb logreg_iris_bayes_2d_pymc3,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/logreg_iris_bayes_2d_pymc3.ipynb logreg_prior_offset,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/14/logreg_prior_offset.ipynb vdvae_flax_demo_cifar,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/vdvae_flax_demo_cifar.ipynb LVAE,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/LVAE.ipynb vae_latent_space,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/vae_latent_space.ipynb quantized_autoencoder_mnist,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/quantized_autoencoder_mnist.ipynb score_matching_swiss_roll,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/23/score_matching_swiss_roll.ipynb bernoulli_hmm_example,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/bernoulli_hmm_example.ipynb kf_linreg,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/kf_linreg.ipynb ekf_vs_ukf,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/ekf_vs_ukf.ipynb arhmm_example,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/arhmm_example.ipynb hmm_with_ngram,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/hmm_with_ngram.ipynb gaussian_hmm_2d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/gaussian_hmm_2d.ipynb kf_parallel,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/kf_parallel.ipynb STS_TFP,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/STS_TFP.ipynb fig_28_11,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/fig_28_11.ipynb kf_spiral,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/kf_spiral.ipynb hmm_flows_pos_tagging,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/hmm_flows_pos_tagging.ipynb hmm_poisson_changepoint_tfp,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/hmm_poisson_changepoint_tfp.ipynb poisson_lds_example,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/poisson_lds_example.ipynb hmm_poisson_changepoint_jax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/hmm_poisson_changepoint_jax.ipynb hmm_lillypad,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/hmm_lillypad.ipynb gp_mauna_loa,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/gp_mauna_loa.ipynb kf_tracking,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/08/kf_tracking.ipynb causal_impact_tfp,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/causal_impact_tfp.ipynb hmm_bach_chorales,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/hmm_bach_chorales.ipynb zipfs_law_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/zipfs_law_plot.ipynb bayes_change_of_var,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/bayes_change_of_var.ipynb dirichlet_3d_triangle_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/dirichlet_3d_triangle_plot.ipynb sub_super_gauss_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/sub_super_gauss_plot.ipynb sensor_fusion_2d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/sensor_fusion_2d.ipynb gauss_plot_2d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/gauss_plot_2d.ipynb bigram_hinton_diagram,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/bigram_hinton_diagram.ipynb fig_2_5,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/fig_2_5.ipynb ecdf_sample,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/ecdf_sample.ipynb pareto_dist_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/pareto_dist_plot.ipynb student_laplace_pdf_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/student_laplace_pdf_plot.ipynb dirichlet_3d_spiky_plot,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/dirichlet_3d_spiky_plot.ipynb ngram_character_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/02/ngram_character_demo.ipynb rejection_sampling_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/rejection_sampling_demo.ipynb mc_estimate_pi,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/mc_estimate_pi.ipynb inverse_cdf_sampling,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/inverse_cdf_sampling.ipynb mc_accuracy_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/mc_accuracy_demo.ipynb fig_10_5,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/fig_10_5.ipynb ars_envelope,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/ars_envelope.ipynb control_variates,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/control_variates.ipynb ars_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/ars_demo.ipynb antithetic_sampling,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/10/antithetic_sampling.ipynb error_correcting_code_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/08/error_correcting_code_demo.ipynb bernoulli_entropy_fig,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/05/bernoulli_entropy_fig.ipynb minimize_kl_divergence,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/05/minimize_kl_divergence.ipynb VIBDemo2021,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/05/VIBDemo2021.ipynb laplace_approx_beta_binom_jax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/07/laplace_approx_beta_binom_jax.ipynb hmc_beta_binom_blackjax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/07/hmc_beta_binom_blackjax.ipynb advi_beta_binom_jax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/07/advi_beta_binom_jax.ipynb mix_PPCA_celeba,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/mix_PPCA_celeba.ipynb sparse_dict_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/sparse_dict_demo.ipynb binary_fa_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/binary_fa_demo.ipynb mix_bernoulli_em_mnist,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/mix_bernoulli_em_mnist.ipynb gplvm_mocap,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/gplvm_mocap.ipynb ica_demo_uniform,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/ica_demo_uniform.ipynb mixPpcaDemo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/mixPpcaDemo.ipynb ica_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/ica_demo.ipynb gmm_2d,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/gmm_2d.ipynb gmm_plot_demo,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/27/gmm_plot_demo.ipynb discretized_ssm,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/08/discretized_ssm.ipynb gauss-bp-1d-line,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/08/gauss-bp-1d-line.ipynb ugm_inf_autodiff,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/08/ugm_inf_autodiff.ipynb hmm_casino,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/08/hmm_casino.ipynb two_moons_normalizingFlow,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/22/two_moons_normalizingFlow.ipynb flow_spline_mnist_jax,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/22/flow_spline_mnist_jax.ipynb flow_2d_mlp,https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/22/flow_2d_mlp.ipynb