Path: blob/master/internal/figures_url_mapping_book1_excluded_dummy_nb.csv
1191 views
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12.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/12/poisson_regression_insurance.ipynb'] 12.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/12/poisson_regression_insurance.ipynb'] 13.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/xor_heaviside.ipynb'] 13.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/activation_fun_plot.ipynb'] 13.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/mlp_mnist_tf.ipynb'] 13.6,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/mlp_1d_regression_hetero_tfp.ipynb'] 13.14,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/activation_fun_deriv_jax.ipynb'] 13.17,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/sparse_mlp.ipynb'] 13.20,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/sgd_minima_variance.ipynb'] 13.21,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/logregXorDemo.ipynb'] 13.22,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/linregRbfDemo.ipynb'] 13.23,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/13/mixexpDemoOneToMany.ipynb'] 14.5,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/14/conv2d_jax.ipynb'] 14.9,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/14/conv2d_jax.ipynb'] 14.17,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/14/cnn_mnist_tf.ipynb'] 15.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/15/rnn_jax.ipynb'] 15.17,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/15/kernel_regression_attention.ipynb'] 15.25,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/15/positional_encoding_jax.ipynb'] 16.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/16/knn_voronoi_plot.ipynb'] 16.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/16/knn_classify_demo.ipynb'] 16.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/16/curse_dimensionality_plot.ipynb'] 16.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/16/smoothingKernelPlot.ipynb'] 16.9,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/16/parzen_window_demo2.ipynb'] 16.10,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/16/kernelRegressionDemo.ipynb'] 17.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gprDemoArd.ipynb'] 17.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gpKernelPlot.ipynb'] 17.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gpKernelPlot.ipynb'] 17.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gprDemoNoiseFree.ipynb'] 17.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gprDemoChangeHparams.ipynb'] 17.9,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gpr_demo_marglik.ipynb'] 17.10,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gp_classify_iris_1d_pymc3.ipynb'] 17.11,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/gp_classify_spaceflu_1d_pymc3.ipynb'] 17.14,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/svm_classifier_feature_scaling.ipynb'] 17.17,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/svm_classifier_2d.ipynb'] 17.18,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/svmCgammaDemo.ipynb'] 17.19,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/huberLossPlot.ipynb'] 17.20,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/svm_regression_1d.ipynb'] 17.21,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/kernelBinaryClassifDemo.ipynb'] 17.22,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/rvm_regression_1d.ipynb'] 17.23,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/17/rvm_regression_1d.ipynb'] 18.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/regtreeSurfaceDemo.ipynb'] 18.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/dtree_sensitivity.ipynb'] 18.4,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/bagging_trees.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/rf_demo_2d.ipynb']" 18.5,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/spam_tree_ensemble_compare.ipynb'] 18.6,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/boosted_regr_trees.ipynb'] 18.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/hinge_loss_plot.ipynb'] 18.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/rf_feature_importance_mnist.ipynb'] 18.9,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/spam_tree_ensemble_interpret.ipynb'] 18.10,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/18/spam_tree_ensemble_interpret.ipynb'] 19.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/19/image_augmentation_jax.ipynb'] 19.14,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/19/hbayes_maml.ipynb'] 20.1,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pcaDemo2d.ipynb'] 20.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pca_digits.ipynb'] 20.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pcaImageDemo.ipynb'] 20.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pca_projected_variance.ipynb'] 20.5,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pcaStandardization.ipynb'] 20.6,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pcaOverfitDemo.ipynb'] 20.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pcaOverfitDemo.ipynb'] 20.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pcaOverfitDemo.ipynb'] 20.10,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/pcaEmStepByStep.ipynb'] 20.12,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/mixPpcaDemo.ipynb'] 20.13,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/binary_fa_demo.ipynb'] 20.17,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/ae_mnist_tf.ipynb'] 20.18,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/ae_mnist_tf.ipynb'] 20.19,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/ae_mnist_tf.ipynb'] 20.21,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/ae_mnist_tf.ipynb'] 20.24,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/vae_mnist_conv_lightning.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/ae_mnist_conv.ipynb']" 20.25,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/vae_mnist_conv_lightning.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/ae_mnist_conv.ipynb']" 20.26,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/vae_mnist_conv_lightning.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/ae_mnist_conv.ipynb']" 20.27,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/vae_mnist_conv_lightning.ipynb'] 20.30,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_digits_sklearn.ipynb']" 20.31,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_digits_sklearn.ipynb']" 20.33,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_digits_sklearn.ipynb']" 20.34,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb'] 20.35,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/kpcaScholkopf.ipynb'] 20.36,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_digits_sklearn.ipynb']" 20.37,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_digits_sklearn.ipynb']" 20.38,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_digits_sklearn.ipynb']" 20.41,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_swiss_sklearn.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/20/manifold_digits_sklearn.ipynb']" 21.2,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/agglomDemo.ipynb'] 21.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/hclust_yeast_demo.ipynb'] 21.5,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/yeast_data_viz.ipynb'] 21.6,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/hclust_yeast_demo.ipynb'] 21.7,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/kmeans_voronoi.ipynb'] 21.8,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/kmeans_yeast_demo.ipynb'] 21.9,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/vqDemo.ipynb'] 21.10,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/kmeans_minibatch.ipynb'] 21.11,"['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/kmeans_silhouette.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/gmm_2d.ipynb', 'https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/kmeans_silhouette.ipynb']" 21.12,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/kmeans_silhouette.ipynb'] 21.13,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/kmeans_silhouette.ipynb'] 21.14,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/gmm_2d.ipynb'] 21.15,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/gmm_identifiability_pymc3.ipynb'] 21.16,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/gmm_identifiability_pymc3.ipynb'] 21.17,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/gmm_chooseK_pymc3.ipynb'] 21.18,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/gmm_chooseK_pymc3.ipynb'] 21.19,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/21/spectral_clustering_demo.ipynb'] 22.3,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/22/matrix_factorization_recommender.ipynb'] 22.4,['https://colab.research.google.com/github/probml/pyprobml/blob/master/notebooks/book1/22/matrix_factorization_recommender.ipynb']