Notebooks
probprog/PP4 - Bayesian filtering and smoothing
probprog/PP3 - variational Bayesian inference
probprog/PP2 - Bayesian regression and classification
probprog/PP1 - Bayesian inference in conjugate models
probprog/Intro to Julia
mlss/Probability Theory Review
mlss/Latent Variable Models and VB
mlss/Intelligent Agents and Active Inference
mlss/Factor Graphs
mlss/Bayesian Machine Learning
minis/prior playground
minis/interactive data picker
minis/Sum and product of Gaussians
minis/Softmax
minis/RxInfer tips and tricks
minis/Laplace Approximation
minis/KL Divergence
minis/How to use this knowledge
minis/Generative Classification
minis/Distributions in Julia
minis/Basis Functions
minis/2D data picker
lectures/The Multinomial Distribution
lectures/The Gaussian Distribution
lectures/Regression
lectures/Probability Theory Review
lectures/Machine Learning Overview
lectures/Latent Variable Models and VB
lectures/Intelligent Agents and Active Inference
lectures/Generative Classification
lectures/Factor Graphs
lectures/Dynamic Models
lectures/Discriminative Classification
lectures/Course Syllabus
lectures/Bayesian Machine Learning
assignments/A2 - Tracking satellites
assignments/A1 - Observational astronomy
assignments/A0 - Julia Programming
Git commit:
427dd8a