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Book1Dashboard

Total Notebooks	Latexified	Jaxified
245	36	47

Chapter: 1_Introduction

nb_name	fig_no	workflow	latexify	jaxify
iris_plot.ipynb	1.3	, log	❌	❌
iris_dtree.ipynb	1.4	, log	❌	❌
linreg_residuals_plot.ipynb	1.5	, log	❌	❌
linreg_2d_surface_demo.ipynb	1.6	, log	❌	❌
linreg_poly_vs_degree.ipynb	1.7	, log	✅	❌
iris_kmeans.ipynb	1.8	, log	❌	❌
iris_pca.ipynb	1.9	, log	❌	❌
mnist_viz_tf.ipynb	1.12	, log	❌	❌
emnist_viz_jax.ipynb	1.12	, log	❌	✅
fashion_viz_tf.ipynb	1.13	, log	❌	❌
cifar_viz_tf.ipynb	1.13	, log	❌	❌

Chapter: 2_Probability: univariate models

nb_name	fig_no	workflow	latexify	jaxify
discrete_prob_dist_plot.ipynb	2.1	, log	✅	✅
gauss_plot.ipynb	2.2	, log	✅	✅
quantile_plot.ipynb	2.2	, log	✅	✅
bimodal_dist_plot.ipynb	2.4	, log	✅	✅
anscombes_quartet.ipynb	2.5	, log	✅	✅
datasaurus_dozen.ipynb	2.6	, log	✅	✅
binom_dist_plot.ipynb	2.9	, log	✅	✅
activation_fun_plot.ipynb	2.1	, log	✅	✅
iris_logreg.ipynb	2.11	, log	✅	✅
softmax_plot.ipynb	2.12	, log	✅	✅
iris_logreg.ipynb	2.13	, log	✅	✅
linreg_1d_hetero_tfp.ipynb	2.14	, log	❌	❌
student_laplace_pdf_plot.ipynb	2.15	, log	✅	✅
robust_pdf_plot.ipynb	2.16	, log	✅	✅
beta_dist_plot.ipynb	2.17	, log	✅	✅
gamma_dist_plot.ipynb	2.17	, log	✅	✅
centralLimitDemo.ipynb	2.23	, log	✅	✅
change_of_vars_demo1d.ipynb	2.24	, log	✅	✅

Chapter: 3_Probability: multivariate models

nb_name	fig_no	workflow	latexify	jaxify
simpsons_paradox.ipynb	3.3	, log	✅	✅
gauss_plot_2d.ipynb	3.5	, log	✅	✅
gauss_plot_2d.ipynb	3.6	, log	✅	✅
gauss_imputation_known_params_demo.ipynb	3.7	, log	✅	✅
gauss_infer_1d.ipynb	3.8	, log	✅	✅
gauss_infer_2d.ipynb	3.9	, log	✅	✅
sensor_fusion_2d.ipynb	3.1	, log	✅	✅
gmm_plot_demo.ipynb	3.11	, log	❌	❌
gmm_2d.ipynb	3.12	, log	❌	❌
mix_bernoulli_em_mnist.ipynb	3.13	, log	❌	✅

Chapter: 4_Statistics

nb_name	fig_no	workflow	latexify	jaxify
iris_cov_mat.ipynb	4.1	, log	❌	❌
hinge_loss_plot.ipynb	4.2	, log	❌	❌
ema_demo.ipynb	4.3	, log	❌	❌
shrinkcov_plots.ipynb	4.4	, log	❌	❌
linreg_poly_ridge.ipynb	4.5	, log	❌	❌
polyfitRidgeCV.ipynb	4.7	, log	❌	❌
imdb_mlp_bow_tf.ipynb	4.8	, log	❌	❌
linreg_poly_vs_n.ipynb	4.9	, log	❌	❌
beta_binom_post_plot.ipynb	4.1	, log	❌	✅
beta_binom_post_pred_plot.ipynb	4.12	, log	❌	❌
mixbetademo.ipynb	4.13	, log	❌	❌
dirichlet_3d_triangle_plot.ipynb	4.14	, log	❌	❌
dirichlet_3d_spiky_plot.ipynb	4.14	, log	❌	❌
dirichlet_samples_plot.ipynb	4.15	, log	✅	❌
gauss_infer_1d.ipynb	4.16	, log	❌	❌
gauss_infer_2d.ipynb	4.17	, log	❌	❌
betaHPD.ipynb	4.18	, log	❌	❌
postDensityIntervals.ipynb	4.19	, log	❌	❌
logreg_iris_1d.ipynb	4.2	, log	❌	❌
logreg_iris_bayes_1d_pymc3.ipynb	4.2	, log	❌	❌
laplace_approx_beta_binom_jax.ipynb	4.22	, log	✅	✅
bootstrapDemoBer.ipynb	4.23	, log	❌	❌
samplingDistributionGaussianShrinkage.ipynb	4.24	, log	✅	✅
biasVarModelComplexity3.ipynb	4.25	, log	❌	❌

Chapter: 5_Decision theory

nb_name	fig_no	workflow	latexify	jaxify
roc_plot.ipynb	5.2	, log	❌	❌
pr_plot.ipynb	5.2	, log	❌	❌
huberLossPlot.ipynb	5.3	, log	❌	❌
coins_model_sel_demo.ipynb	5.4	, log	❌	❌
linreg_eb_modelsel_vs_n.ipynb	5.5	, log	❌	❌
linreg_eb_modelsel_vs_n.ipynb	5.6	, log	❌	❌
riskFnGauss.ipynb	5.8	, log	❌	❌
neymanPearson2.ipynb	5.1	, log	❌	❌
twoPowerCurves.ipynb	5.1	, log	❌	❌

Chapter: 6_Information theory

nb_name	fig_no	workflow	latexify	jaxify
bernoulli_entropy_fig.ipynb	6.1	, log	✅	❌
seq_logo_demo.ipynb	6.2	, log	❌	✅
KLfwdReverseMixGauss.ipynb	6.3	, log	❌	❌
MIC_correlation_2d.ipynb	6.6	, log	❌	❌

Chapter: 7_Linear algebra

nb_name	fig_no	workflow	latexify	jaxify
gaussEvec.ipynb	7.6	, log	❌	❌
height_weight_whiten_plot.ipynb	7.7	, log	❌	❌
svd_image_demo.ipynb	7.9	, log	❌	❌
svd_image_demo.ipynb	7.1	, log	❌	❌

Chapter: 8_Optimization

nb_name	fig_no	workflow	latexify	jaxify
extrema_fig_1d.ipynb	8.1	, log	❌	❌
saddle.ipynb	8.1	, log	❌	❌
smooth-vs-nonsmooth-1d.ipynb	8.7	, log	❌	❌
steepestDescentDemo.ipynb	8.11	, log	❌	❌
lineSearchConditionNum.ipynb	8.12	, log	❌	✅
newtonsMethodMinQuad.ipynb	8.14	, log	❌	❌
newtonsMethodNonConvex.ipynb	8.14	, log	❌	❌
lms_demo.ipynb	8.16	, log	❌	❌
lrschedule_tf.ipynb	8.17	, log	❌	❌
learning_rate_plot.ipynb	8.18	, log	❌	❌
emLogLikelihoodMax.ipynb	8.23	, log	❌	❌
mix_gauss_demo_faithful.ipynb	8.25	, log	❌	❌
mix_gauss_singularity.ipynb	8.26	, log	❌	❌
mix_gauss_mle_vs_map.ipynb	8.26	, log	❌	❌
gmm_lik_surface_plot.ipynb	8.27	, log	❌	❌

Chapter: 9_Linear discriminant analysis

nb_name	fig_no	workflow	latexify	jaxify
discrim_analysis_dboundaries_plot2.ipynb	9.1	, log	❌	❌
discrim_analysis_dboundaries_plot2.ipynb	9.2	, log	❌	❌
fisher_lda_demo.ipynb	9.4	, log	❌	❌
fisher_discrim_vowel.ipynb	9.5	, log	❌	❌
naive_bayes_mnist_jax.ipynb	9.6	, log	❌	✅
naive_bayes_mnist_jax.ipynb	9.7	, log	❌	✅
generativeVsDiscrim.ipynb	9.8	, log	❌	❌

Chapter: 10_Logistic regression

nb_name	fig_no	workflow	latexify	jaxify
iris_logreg.ipynb	10.1	, log	❌	❌
sigmoid_2d_plot.ipynb	10.2	, log	✅	✅
logreg_poly_demo.ipynb	10.4	, log	✅	✅
iris_logreg_loss_surface.ipynb	10.5	, log	❌	✅
logreg_poly_demo.ipynb	10.6	, log	✅	✅
logreg_multiclass_demo.ipynb	10.7	, log	❌	❌
logreg_iris_bayes_robust_1d_pymc3.ipynb	10.1	, log	❌	❌
logreg_laplace_demo.ipynb	10.13	, log	✅	❌
logreg_laplace_demo.ipynb	10.14	, log	✅	❌

Chapter: 11_Linear regression

nb_name	fig_no	workflow	latexify	jaxify
linreg_poly_vs_degree.ipynb	11.1	, log	❌	❌
linreg_contours_sse_plot.ipynb	11.2	, log	❌	❌
linregOnlineDemo.ipynb	11.4	, log	❌	❌
linreg_poly_vs_degree.ipynb	11.5	, log	❌	❌
linreg_poly_vs_degree.ipynb	11.6	, log	❌	❌
geom_ridge.ipynb	11.7	, log	❌	❌
ridgePathProstate.ipynb	11.1	, log	❌	❌
lassoPathProstate.ipynb	11.1	, log	❌	❌
prostate_comparison.ipynb	11.11	, log	❌	❌
prostate_comparison.ipynb	11.12	, log	❌	❌
sparse_sensing_demo.ipynb	11.13	, log	❌	❌
groupLassoDemo.ipynb	11.14	, log	❌	❌
groupLassoDemo.ipynb	11.15	, log	❌	❌
splines_basis_weighted.ipynb	11.16	, log	❌	❌
splines_basis_heatmap.ipynb	11.17	, log	❌	❌
splines_cherry_blossoms.ipynb	11.18	, log	❌	❌
linregRobustDemoCombined.ipynb	11.19	, log	❌	❌
huberLossPlot.ipynb	11.19	, log	❌	❌
linreg_2d_bayes_demo.ipynb	11.2	, log	❌	❌
linreg_post_pred_plot.ipynb	11.21	, log	❌	❌
linreg_2d_bayes_centering_pymc3.ipynb	11.22	, log	❌	❌
multi_collinear_legs_numpyro.ipynb	11.23	, log	❌	✅
multi_collinear_legs_numpyro.ipynb	11.24	, log	❌	✅

Chapter: 12_Generalized linear models

nb_name	fig_no	workflow	latexify	jaxify
poisson_regression_insurance.ipynb	12.1	, log	❌	❌
poisson_regression_insurance.ipynb	12.2	, log	❌	❌

Chapter: 13_Neural networks for unstructured data

nb_name	fig_no	workflow	latexify	jaxify
xor_heaviside.ipynb	13.1	, log	❌	❌
activation_fun_plot.ipynb	13.2	, log	❌	❌
mlp_mnist_tf.ipynb	13.4	, log	❌	❌
mlp_1d_regression_hetero_tfp.ipynb	13.6	, log	❌	❌
activation_fun_deriv_jax.ipynb	13.14	, log	❌	❌
sparse_mlp.ipynb	13.17	, log	❌	✅
sgd_minima_variance.ipynb	13.2	, log	❌	❌
logregXorDemo.ipynb	13.21	, log	❌	❌
linregRbfDemo.ipynb	13.22	, log	❌	❌
mixexpDemoOneToMany.ipynb	13.23	, log	❌	❌

Chapter: 14_Neural networks for images

nb_name	fig_no	workflow	latexify	jaxify
conv2d_jax.ipynb	14.5	, log	❌	✅
conv2d_jax.ipynb	14.9	, log	❌	✅
cnn_mnist_tf.ipynb	14.17	, log	❌	❌

Chapter: 15_Neural networks for sequences

nb_name	fig_no	workflow	latexify	jaxify
rnn_jax.ipynb	15.2	, log	❌	✅
kernel_regression_attention.ipynb	15.17	, log	❌	❌
positional_encoding_jax.ipynb	15.25	, log	❌	✅

Chapter: 16_Exemplar-based methods

nb_name	fig_no	workflow	latexify	jaxify
knn_voronoi_plot.ipynb	16.1	, log	❌	❌
knn_classify_demo.ipynb	16.2	, log	❌	❌
curse_dimensionality_plot.ipynb	16.3	, log	❌	❌
smoothingKernelPlot.ipynb	16.8	, log	❌	❌
parzen_window_demo2.ipynb	16.9	, log	❌	❌
kernelRegressionDemo.ipynb	16.1	, log	❌	❌

Chapter: 17_Kernel methods

nb_name	fig_no	workflow	latexify	jaxify
gprDemoArd.ipynb	17.1	, log	❌	❌
gpKernelPlot.ipynb	17.2	, log	❌	❌
gpKernelPlot.ipynb	17.3	, log	❌	❌
gprDemoNoiseFree.ipynb	17.7	, log	❌	❌
gprDemoChangeHparams.ipynb	17.8	, log	❌	❌
gpr_demo_marglik.ipynb	17.9	, log	❌	❌
gp_classify_iris_1d_pymc3.ipynb	17.1	, log	❌	❌
gp_classify_spaceflu_1d_pymc3.ipynb	17.11	, log	❌	❌
svm_classifier_feature_scaling.ipynb	17.14	, log	❌	❌
svm_classifier_2d.ipynb	17.17	, log	❌	❌
svmCgammaDemo.ipynb	17.18	, log	❌	❌
huberLossPlot.ipynb	17.19	, log	❌	❌
svm_regression_1d.ipynb	17.2	, log	❌	❌
kernelBinaryClassifDemo.ipynb	17.21	, log	❌	❌
rvm_regression_1d.ipynb	17.22	, log	❌	❌
rvm_regression_1d.ipynb	17.23	, log	❌	❌

Chapter: 18_Trees

nb_name	fig_no	workflow	latexify	jaxify
regtreeSurfaceDemo.ipynb	18.1	, log	❌	❌
dtree_sensitivity.ipynb	18.3	, log	❌	❌
bagging_trees.ipynb	18.4	, log	❌	❌
rf_demo_2d.ipynb	18.4	, log	❌	❌
spam_tree_ensemble_compare.ipynb	18.5	, log	❌	❌
boosted_regr_trees.ipynb	18.6	, log	❌	❌
hinge_loss_plot.ipynb	18.7	, log	❌	❌
rf_feature_importance_mnist.ipynb	18.8	, log	❌	✅
spam_tree_ensemble_interpret.ipynb	18.9	, log	❌	❌
spam_tree_ensemble_interpret.ipynb	18.1	, log	❌	❌

Chapter: 19_Learning with fewer labeled examples

nb_name	fig_no	workflow	latexify	jaxify
image_augmentation_jax.ipynb	19.1	, log	❌	✅
hbayes_maml.ipynb	19.14	, log	❌	❌

Chapter: 20_Dimensionality reduction

nb_name	fig_no	workflow	latexify	jaxify
pcaDemo2d.ipynb	20.1	, log	❌	❌
pca_digits.ipynb	20.2	, log	❌	❌
pcaImageDemo.ipynb	20.3	, log	❌	❌
pca_projected_variance.ipynb	20.4	, log	❌	❌
pcaStandardization.ipynb	20.5	, log	❌	❌
pcaOverfitDemo.ipynb	20.6	, log	❌	❌
pcaOverfitDemo.ipynb	20.7	, log	❌	❌
pcaOverfitDemo.ipynb	20.8	, log	❌	❌
pcaEmStepByStep.ipynb	20.1	, log	❌	❌
mixPpcaDemo.ipynb	20.12	, log	❌	❌
binary_fa_demo.ipynb	20.13	, log	✅	✅
ae_mnist_tf.ipynb	20.17	, log	❌	❌
ae_mnist_tf.ipynb	20.18	, log	❌	❌
ae_mnist_tf.ipynb	20.19	, log	❌	❌
ae_mnist_tf.ipynb	20.21	, log	❌	❌
vae_mnist_conv_lightning.ipynb	20.24	, log	❌	❌
ae_mnist_conv.ipynb	20.24	, log	❌	❌
vae_mnist_conv_lightning.ipynb	20.25	, log	❌	❌
ae_mnist_conv.ipynb	20.25	, log	❌	❌
vae_mnist_conv_lightning.ipynb	20.26	, log	❌	❌
ae_mnist_conv.ipynb	20.26	, log	❌	❌
vae_mnist_conv_lightning.ipynb	20.27	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.3	, log	❌	❌
manifold_digits_sklearn.ipynb	20.3	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.31	, log	❌	❌
manifold_digits_sklearn.ipynb	20.31	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.33	, log	❌	❌
manifold_digits_sklearn.ipynb	20.33	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.34	, log	❌	❌
kpcaScholkopf.ipynb	20.35	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.36	, log	❌	❌
manifold_digits_sklearn.ipynb	20.36	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.37	, log	❌	❌
manifold_digits_sklearn.ipynb	20.37	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.38	, log	❌	❌
manifold_digits_sklearn.ipynb	20.38	, log	❌	❌
manifold_swiss_sklearn.ipynb	20.41	, log	❌	❌
manifold_digits_sklearn.ipynb	20.41	, log	❌	❌

Chapter: 21_Clustering

nb_name	fig_no	workflow	latexify	jaxify
agglomDemo.ipynb	21.2	, log	❌	❌
hclust_yeast_demo.ipynb	21.4	, log	❌	❌
yeast_data_viz.ipynb	21.5	, log	❌	❌
hclust_yeast_demo.ipynb	21.6	, log	❌	❌
kmeans_voronoi.ipynb	21.7	, log	❌	❌
kmeans_yeast_demo.ipynb	21.8	, log	❌	❌
vqDemo.ipynb	21.9	, log	✅	❌
kmeans_minibatch.ipynb	21.1	, log	❌	❌
kmeans_silhouette.ipynb	21.11	, log	❌	❌
gmm_2d.ipynb	21.11	, log	❌	❌
kmeans_silhouette.ipynb	21.11	, log	❌	❌
kmeans_silhouette.ipynb	21.12	, log	❌	❌
kmeans_silhouette.ipynb	21.13	, log	❌	❌
gmm_2d.ipynb	21.14	, log	❌	❌
gmm_identifiability_pymc3.ipynb	21.15	, log	❌	❌
gmm_identifiability_pymc3.ipynb	21.16	, log	❌	❌
gmm_chooseK_pymc3.ipynb	21.17	, log	❌	❌
gmm_chooseK_pymc3.ipynb	21.18	, log	❌	❌
spectral_clustering_demo.ipynb	21.19	, log	❌	❌

Chapter: 22_Recommender systems

nb_name	fig_no	workflow	latexify	jaxify
matrix_factorization_recommender.ipynb	22.3	, log	❌	❌
matrix_factorization_recommender.ipynb	22.4	, log	❌	❌