bayesian-architecture-learning

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Gaussian processes in TensorFlow

Awesome resources on normalizing flows.

Seminars DeepBayes Summer School 2018

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Lecture notes on Bayesian deep learning

Statistical Rethinking (2nd ed.) with NumPyro

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..