Path: blob/master/internal/figures_url_mapping_book2_excluded_dummy_nb.csv
1191 views
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18.10,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gp_poisson_1d.ipynb'] 18.11,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gp_spatial_demo.ipynb'] 18.15,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gpr_demo_change_hparams.ipynb'] 18.16,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gpr_demo_marglik.ipynb'] 18.18,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gp_kernel_opt.ipynb'] 18.23,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gp_spectral_mixture.ipynb'] 18.26,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gp_deep_kernel_learning.ipynb'] 18.32,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/deepgp_stepdata.ipynb'] 18.34,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/18/gp_mauna_loa.ipynb'] 19.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/19/bnn_mnist_sgld.ipynb'] 19.9,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/19/bnn_mnist_sgld.ipynb'] 20.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/parzen_window_demo2.ipynb'] 20.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/vae_compare_results.ipynb'] 20.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/20/vae_celebA_lightning.ipynb'] 21.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/21/vae_compare_results.ipynb'] 21.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/21/vae_compare_results.ipynb'] 21.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/21/vae_latent_space.ipynb'] 21.18,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/21/vdvae_demo_cifar.ipynb'] 21.21,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/21/quantized_autoencoder_mnist.ipynb'] 23.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/23/flow_2d_mlp.ipynb'] 23.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/23/flow_spline_mnist.ipynb'] 23.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/23/two_moons_normalizing_flow.ipynb'] 24.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/24/score_matching_swiss_roll.ipynb'] 25.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/25/vdm_2d.ipynb'] 26.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/26/genmo_types_implicit_explicit.ipynb'] 26.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/26/ipm_divergences.ipynb'] 26.5,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/26/ipm_divergences.ipynb'] 26.6,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/26/gan_loss_types.ipynb'] 26.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/26/gan_mixture_of_gaussians.ipynb'] 26.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/26/dirac_gan.ipynb'] 26.9,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/26/dirac_gan.ipynb'] 28.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/gmm_plot_demo.ipynb'] 28.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/gmm_2d.ipynb'] 28.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/mix_bernoulli_em_mnist.ipynb'] 28.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/mix_ppca_demo.ipynb'] 28.11,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/mix_ppca_celebA.ipynb'] 28.13,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/mix_ppca_celebA.ipynb'] 28.14,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/mix_ppca_celebA.ipynb'] 28.18,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/binary_fa_demo.ipynb'] 28.19,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/gplvm_mocap.ipynb'] 28.31,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/ica_demo.ipynb'] 28.32,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/ica_demo_uniform.ipynb'] 28.33,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/28/sparse_dict_demo.ipynb'] 29.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_bernoulli.ipynb'] 29.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_gaussian_2d.ipynb'] 29.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_ar.ipynb'] 29.5,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_ar.ipynb'] 29.6,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_poisson_changepoint.ipynb'] 29.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_poisson_changepoint.ipynb'] 29.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_poisson_changepoint.ipynb'] 29.13,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_casino_training.ipynb'] 29.14,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_casino_training.ipynb'] 29.15,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/hmm_self_loop_dist.ipynb'] 29.22,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/changepoint_detection.ipynb'] 29.23,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/kf_tracking.ipynb'] 29.24,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/kf_linreg.ipynb'] 29.26,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/kf_parallel.ipynb'] 29.30,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/poisson_lds_example.ipynb'] 29.31,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/poisson_lds_example.ipynb'] 29.33,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/sts.ipynb'] 29.34,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/sts.ipynb'] 29.35,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/sts.ipynb'] 29.36,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/sts.ipynb'] 29.41,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/29/causal_impact.ipynb'] 30.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/30/ggm_lasso_demo.ipynb'] 31.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/31/stick_breaking_demo.ipynb'] 31.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/31/dp_mixgauss_sample.ipynb'] 34.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/34/ab_test_demo.ipynb'] 34.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book2/34/thompson_sampling_linear_gaussian.ipynb']