fix(heteroskedastic_noise): update title for clarity

feat(regression): add Heteroskedastic Noise visualization page

feat(beta_binomial): add Beta-Binomial predictive page and refactor sampling logic

feat(cholesky): improve layout and controls for Cholesky decomposition and solving linear systems

feat(linear_algebra): enhance layout and visualization for determinants and eigenvalues

fix(determinant_visualization): adjust subplot size for better layout and comment out markdown explanation

feat(data_loading): update MNIST data loading functions to include labels and improve visualization options

feat(generative_models): add ELBO visualization page for variational inference

feat(neural_networks): add pages for Weight to Function Space and Active Learning with Bayesian Neural Networks

feat(gaussian_process): add Non-Identifiability of ML page with visualizations

fix(visualization): adjust figure height for GP visualization

feat(gaussian_process): refactor data generation for GP regression with caching and noise options

fix(style): adjust padding and width for main content background

feat(gaussian_process): add GP Joint Distribution page with interactive controls and visualizations

feat(gaussian_process): add Conditioning & Marginalization page with interactive visualizations

fix(variational_inference): enhance prediction plot with variance visualization option

feat(variational_inference): add Normalizing Flows page with training and visualization features

feat(hessian_matrix): refactor Hessian matrix visualization with JAX functions and enhanced interactivity

feat(mnist_classification): implement Bayesian Neural Network classifier with Streamlit UI

feat(home): expand course content with new sections on classification, Bayesian inference, and generative models

feat: Add new VAE and CVAE implementations with updated training and visualization features

feat(generative_models): replace ReLU with Swish activation and add clamping for numerical stability

feat(generative_models): add VAE: Pure VI page for Variational Autoencoder visualization

feat(generative_models): add GMM with EM page for Gaussian Mixture Model visualization

feat(generative_models): add PCA and Probabilistic PCA pages with data generation and visualization

feat(classification): add Naive Bayes classification page with data generation and visualization

feat(bayesian_inference): add Online Learning page for Bayesian Neural Networks

fix(uncertainty_decomposition): add support for entropy-based uncertainty decomposition

feat(bayesian_inference): add Uncertainty Decomposition page for Bayesian inference visualization

feat(nngp_convergence): add Streamlit app for visualizing neural network convergence to Gaussian processes

feat(gaussian_process): add options to show samples and predictions in GP figure

refactor: new gp

feat(classification): add pages for binary classification

feat(variational_inference): add VI Optimization page with interactive visualizations

feat(optimization): add random seed input for Stochastic Gradient Descent

feat(optimization): add Stochastic Gradient Descent page with interactive visualizations

feat(variational_inference): add Reparameterization vs REINFORCE page with gradient comparison visualizations

feat(variational_inference): add KL Divergence Asymmetry and Jensen's Inequality pages with visualizations

feat(laplace): add Gamma Posterior page with Laplace approximation visualization

feat(probability): add Grid Approximation page for Beta-Binomial model

feat(regression): add page to visualize effect of prior and data on Bayesian linear regression

fix(ui): remove redundant "Controls" subheader from regression pages

feat(regression): add Bayesian Occam's Razor page to visualize marginal likelihood decomposition

fix(likelihood): comment key insights section for clarity

fix(regression): update title for loss-likelihood page for clarity

feat(regression): add Loss ↔ Likelihood page to demonstrate relationship between loss and Gaussian likelihood

fix(title): update title for clarity in curve fitting section

feat(navigation): add Gaussian Processes and Linear Algebra sections with relevant pages

feat(cholesky): add interactive page for solving linear systems using Cholesky decomposition

fix(cholesky): enhance matrix selection and visualization; update markdown for clarity and structure