Notebook,github_url activation_fun_deriv_jax.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book1/13/activation_fun_deriv.ipynb bach_chorales_hmm.ipynb,https://github.com/probml/dynamax/blob/main/dynamax/hidden_markov_model/demos/bach_chorales_hmm.ipynb batch_bald_mnist.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book2/34/batch_bald_mnist_pytorch.ipynb bernoulli_hmm_example.ipynb,https://github.com/probml/dynamax/blob/main/dynamax/hidden_markov_model/demos/bernoulli_hmm_example.ipynb bootstrap_filter_spiral.ipynb,https://github.com/probml/JSL/blob/main/jsl/demos/bootstrap_filter.py bootstrap_filter_maneuver.ipynb,https://github.com/probml/JSL/blob/main/jsl/demos/bootstrap_filter_maneuver.py casino_hmm.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/hmm/casino_hmm_inference.ipynb casino_hmm_training.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/hmm/casino_hmm_learning.ipynb causal_impact_jax.ipynb,https://github.com/probml/sts-jax/blob/main/sts_jax/causal_impact/causal_impact_demo.ipynb diffusion_emnist.ipynb,https://github.com/google-research/vdm/blob/main/colab/SimpleDiffusionColab.ipynb ekf_mlp.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/nonlinear_gaussian_ssm/ekf_mlp.ipynb ekf_pendulum.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/nonlinear_gaussian_ssm/ekf_ukf_pendulum.ipynb ekf_spiral.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/nonlinear_gaussian_ssm/ekf_ukf_spiral.ipynb emloglikelihoodmax.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book1/08/em_log_likelihood_max.ipynb gaussian_hmm_2d.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/hmm/gaussian_hmm.ipynb gprdemonoisefree.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book2/18/gpr_demo_noise_free.ipynb gprdemoard.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book2/18/gpr_demo_ard.ipynb gprdemochangehparams.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book2/18/gpr_demo_change_hparams.ipynb hmm_ar.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/hmm/autoregressive_hmm.ipynb kf_linreg.ipynb,https://github.com/probml/dynamax/tree/main/docs/notebooks/linear_gaussian_ssm/kf_linreg.ipynb kf_parallel.ipynb,https://github.com/probml/dynamax/tree/main/docs/notebooks/linear_gaussian_ssm/kf_tracking.ipynb kf_tracking.ipynb,https://github.com/probml/dynamax/tree/main/docs/notebooks/linear_gaussian_ssm/kf_tracking.ipynb laplace_approx_beta_binom.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book1/04/laplace_approx_beta_binom_jax.ipynb linreg_hierarchical_non_centered.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book2/15/linreg_hierarchical_non_centered_blackjax.ipynb mix_ppca_demo.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book1/20/mixPpcaDemo.ipynb poisson_hmm_changepoint.ipynb,https://github.com/probml/dynamax/blob/main/dynamax/hidden_markov_model/demos/poisson_hmm_changepoint.ipynb poisson_lds.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/generalized_gaussian_ssm/cmgf_poisson_demo.ipynb bnn_mnist_sgld.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book2/19/bnn_mnist_sgld_blackjax.ipynb rbpf_maneuver.ipynb,https://github.com/probml/JSL/blob/main/jsl/demos/rbpf_maneuver.py rjmcmc_rbf,https://github.com/probml/pyprobml/blob/master/notebooks/book2/12/rjmcmc_rbf schools8.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book2/03/schools8_blackjax.ipynb sis_vs_smc.ipynb,https://github.com/probml/JSL/blob/main/jsl/demos/sis_vs_smc.py sts_co2.ipynb,https://github.com/probml/sts-jax/blob/main/sts_jax/structural_time_series/demos/sts_co2_demo.ipynb sts_electricity.ipynb,https://github.com/probml/sts-jax/blob/main/sts_jax/structural_time_series/demos/sts_electric_demo.ipynb smoothvsnonsmooth1d.ipynb,https://github.com/probml/pyprobml/blob/master/notebooks/book1/08/smooth-vs-nonsmooth-1d.ipynb ukf_pendulum.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/nonlinear_gaussian_ssm/ekf_ukf_pendulum.ipynb ukf_spiral.ipynb,https://github.com/probml/dynamax/blob/main/docs/notebooks/nonlinear_gaussian_ssm/ekf_ukf_spiral.ipynb
