anchor.diff:  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/hmm/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
  
positive.code: 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/dynamax/hmm/demos/autoregressive_hmm_demo.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
  
negative.code: 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
  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
  