Bayesian Machine Learning

A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization

This is about Bishops Machine Learning tools implementation in a structured way with strong OOP practices, Video implementations in Tunisian dialect

Notebook from masters course in Probabilistic Cognitive Modelling @ University of Helsinki. Includes manual calculation of response distribution and Bayesian observer likelihoods.

Bayesian Machine Learning Project

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.

Exercises on Bayesian linear regression, Gaussian Processes, Metropolis-Hastings Inference for Bayesian Logistic Regression, K-means and Probabilistic PCA. Made at Institut EURECOM (FR)

AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.

Numerical experiments to illustrate theoretical points of the article: A non-asymptotic analysis for stein variational gradient descent, Korba et al., 2021

The aim of this project is to apply Bayesian Machine Learning Algorithm to predict the diagnosis condition of the patients.

Assignment code for Bayesian ML course on Coursera

Platform for automatic processing of (aq-tngapms) Air Quality using TNGAPMS

Efficient approximate Bayesian machine learning

Library for Bayesian machine learning

Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.

Repo of udemy bayesian machine learning A/B test

Bayesian methods for machine learning course at CentraleSupélec

Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.