probabilistic-nn

Awesome resources on normalizing flows.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Gaussian Processes for Experimental Sciences

A curated list of resources about Machine Learning for Robotics

GPstuff - Gaussian process models for Bayesian analysis

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Implementation of Sequential Attend, Infer, Repeat (SQAIR)