dashboard_figures_book2.md
November 25, 2024 · View on GitHub
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Book2Dashboard
| Total Notebooks | Latexified | Jaxified |
|---|---|---|
| 203 | 75 | 64 |
Chapter: 3_Bayesian statistics
Chapter: 4_Probabilistic graphical models
Chapter: 5_Information theory
Chapter: 6_Optimization
Chapter: 7_Inference algorithms: an overview
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| laplace_approx_beta_binom.ipynb | 7.2 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/07/laplace_approx_beta_binom.png>, log | ❌ | ❌ |
| advi_beta_binom.ipynb | 7.3 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/07/advi_beta_binom.png>, log | ❌ | ❌ |
| hmc_beta_binom.ipynb | 7.4 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/07/hmc_beta_binom.png>, log | ❌ | ❌ |
Chapter: 8_Inference for state-space models
Chapter: 9_Inference for graphical models
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| gauss-bp-1d-line.ipynb | 9.5 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/09/gauss-bp-1d-line.png>, log | ❌ | ❌ |
Chapter: 10_Variational inference
Chapter: 11_Monte Carlo inference
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| mc_estimate_pi.ipynb | 11.1 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/11/mc_estimate_pi.png>, log | ✅ | ✅ |
| mc_accuracy_demo.ipynb | 11.2 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/11/mc_accuracy_demo.png>, log | ✅ | ✅ |
| rejection_sampling_demo.ipynb | 11.4 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/11/rejection_sampling_demo.png>, log | ✅ | ❌ |
| ars_envelope.ipynb | 11.5 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/11/ars_envelope.png>, log | ✅ | ❌ |
| ars_demo.ipynb | 11.5 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/11/ars_demo.png>, log | ✅ | ❌ |
Chapter: 12_Markov Chain Monte Carlo inference
Chapter: 13_Sequential Monte Carlo inference
Chapter: 14_Predictive models: an overview
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| softmax_plot.ipynb | 14.3 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/14/softmax_plot.png>, log | ❌ | ❌ |
Chapter: 15_Generalized linear models
Chapter: 16_Deep neural networks
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| activation_fun_deriv.ipynb | 16.2 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/16/activation_fun_deriv.png>, log | ❌ | ❌ |
| lecun1989.ipynb | 16.11 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/16/lecun1989.png>, log | ❌ | ✅ |
Chapter: 17_Bayesian neural networks
Chapter: 18_Gaussian processes
Chapter: 19_Beyond the iid assumption
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| bnn_mnist_sgld.ipynb | 19.8 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/19/bnn_mnist_sgld.png>, log | ❌ | ❌ |
| bnn_mnist_sgld.ipynb | 19.9 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/19/bnn_mnist_sgld.png>, log | ❌ | ❌ |
Chapter: 20_Generative models: an overview
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| parzen_window_demo2.ipynb | 20.4 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/20/parzen_window_demo2.png>, log | ❌ | ❌ |
| vae_compare_results.ipynb | 20.7 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/20/vae_compare_results.png>, log | ❌ | ❌ |
| vae_celebA_lightning.ipynb | 20.8 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/20/vae_celebA_lightning.png>, log | ❌ | ❌ |
Chapter: 21_Variational autoencoders
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| vae_compare_results.ipynb | 21.3 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/21/vae_compare_results.png>, log | ❌ | ❌ |
| vae_compare_results.ipynb | 21.4 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/21/vae_compare_results.png>, log | ❌ | ❌ |
| vae_latent_space.ipynb | 21.7 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/21/vae_latent_space.png>, log | ❌ | ❌ |
| vdvae_demo_cifar.ipynb | 21.18 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/21/vdvae_demo_cifar.png>, log | ❌ | ✅ |
| quantized_autoencoder_mnist.ipynb | 21.21 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/21/quantized_autoencoder_mnist.png>, log | ❌ | ❌ |
Chapter: 23_Normalizing Flows
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| flow_2d_mlp.ipynb | 23.1 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/23/flow_2d_mlp.png>, log | ✅ | ✅ |
| flow_spline_mnist.ipynb | 23.4 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/23/flow_spline_mnist.png>, log | ❌ | ✅ |
| two_moons_normalizing_flow.ipynb | 23.8 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/23/two_moons_normalizing_flow.png>, log | ❌ | ❌ |
Chapter: 24_Energy-based models
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| score_matching_swiss_roll.ipynb | 24.3 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/24/score_matching_swiss_roll.png>, log | ❌ | ✅ |
Chapter: 25_Diffusion models
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| vdm_2d.ipynb | 25.2 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/25/vdm_2d.png>, log | ❌ | ✅ |
Chapter: 26_Generative adversarial networks
Chapter: 28_Latent factor models
Chapter: 29_State-space models
Chapter: 30_Graph learning
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| ggm_lasso_demo.ipynb | 30.8 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/30/ggm_lasso_demo.png>, log | ❌ | ❌ |
Chapter: 31_Non-parametric Bayesian models
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| stick_breaking_demo.ipynb | 31.3 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/31/stick_breaking_demo.png>, log | ❌ | ❌ |
| dp_mixgauss_sample.ipynb | 31.4 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/31/dp_mixgauss_sample.png>, log | ✅ | ✅ |
Chapter: 34_Decision making under uncertainty
| nb_name | fig_no | workflow | latexify | jaxify |
|---|---|---|---|---|
| ab_test_demo.ipynb | 34.4 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/34/ab_test_demo.png>, log | ✅ | ❌ |
| thompson_sampling_linear_gaussian.ipynb | 34.8 | <img width="20" alt="image" src=https://raw.githubusercontent.com/probml/pyprobml/workflow_testing_indicator/notebooks/book2/34/thompson_sampling_linear_gaussian.png>, log | ❌ | ✅ |