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bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

checkers-game

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

heyi-ai-personal-assistant

An AI personal assistant is a piece of software that understands verbal or written commands and completes task assigned by the client. It is an example of weak AI that is it can only execute and perform quest designed by the user.

honeybees

Research on decision-making process in honeybees. The research focuses on the effects of disoriented bee during nesting.

hybrid-training-neural-network

Artificial life project for the University of Sussex AI and Adaptive systems Master 2020

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

thesis

UoS dissertation

ucb

Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020

weight_uncertainty

Implementing Bayes by Backprop