PGM-Lab

InferPy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

probai-2021-pyro

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

2022-ProbAI

probabilisticAI_tutorials

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)

2023-ProbAI

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

PAC2BAYES

This repository contains the Python code to reproduce all the figures and experiments presented in the paper: Masegosa, Andrés. R., Learning under Model Misspecification: Applications to Variational and Ensemble methods.

ProbModelsDNNs

2022-AISTATS-diversity

bcause

pythoncourse-I

2023-PhD-Course-PML

PhD Course - Introduction to Probabilistic Machine Learning (2023)

2023-RateFunction

Official Repository for Understanding Generalization in the Interpolation Regime using the Rate Function

ASML-Tbilisi

Repository for the course PPLs with DNNs at Autumn school on Machine Learning, Tbilisi, Georgia, October 3-11, 2019.

2017-CDdiscrete-AMIDST

AMIDST development for concept drift detection in discrete streaming data

2018-ipmu-subconcept

Code for the paper about subconcept drift detection in discrete streaming data

2024-counterfactual-land

OOP_F21_Forked

Object Oriented Programming Course - Fall Semester 2021

pgmlabweb

pidsia

public-files

public-files

Temporal

Temporal Repo

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

uncertainty-metrics

An easy-to-use interface for measuring uncertainty and robustness.