Materials of the Nordic Probabilistic AI School 2019.

Exploration of major kinds of statistical learning models and algorithms used in data analysis. Clustering, Neural Networks, Probabilistic ML are a few of the topics.

Material for Philipp Hennig's course: Probabilistic Machine Learning, at Tubingen

Materials of the Nordic Probabilistic AI School 2021.

Repository of my notes and exercises on the course of Probabilistic Machine Learning by Prof. Luca Bortolussi at the University of Trieste in the year 2020/2021

Final Project from the course "Probabilistic Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in ipynb.

Predicting air pollution amounts in cities using a Gaussian Process model

A Bayesian Convolutional Neural Network model for classifying Cataract in Ocular Disease with measurements of uncertainty

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.

This is the official code for calibration in multi-hypothesis human pose estimation

Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting (KDD 2023)

Headquarters of the APRIL research lab

PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images