My own implementations of some examples using TensorFlow Probability for tutorial purposes
- Bayesian Neural Networks
- Bayesian Gaussian Mixture Model (MultivariateNormalDiag components) (Stochastic Variational Inference)
- Bayesian Gaussian Mixture Model (MultivariateNormalTriL components) (Stochastic Variational Inference)
- Bayesian Gaussian Mixture Model (MultivariateNormalTriL components) (Markov chain Monte Carlo)
- ResNet