README.md

Bayesian Machine Learning

My experiments in Bayesian Machine Learning. I make use of pyro's ppl constructs for building models and inference (pyro.infer.SVI). Every experiment is in a separate folder with documentation in README. The list of experiments are given below.

• Deconstructing Pyro
• Bayesian Linear Regression
  • Multivariate Linear Regression
• Bayesian Logistic Regression
  • Binary Classification
  • Multiclass Classification
  • MNIST Classification
• Bayes by Backprop
  • Bayesian Neural Network for MNIST Classification
  • Out-of-domain Uncertainty
• Bayesian Neural Network
• Bayesian Convolutional Neural Network
• Gaussian Mixture Model
• Pyro Demystified
• Introduction to PyMC3
• Gaussian Processes
  • GPytorch
  • Simulation of Bose Einstein Condensates with Gaussian Processes

Related Work

• Anatomy of Probabilistic Programming Languages

How to Contribute?

Would you like a question (relevant to Bayes ML) answered? Rise an issue and I'll add an experiment to answer it (if necessary).