pgm-lab Goto Github PK

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

2022-aistats-diversity

2022-probai

2023-phd-course-pml

PhD Course - Introduction to Probabilistic Machine Learning (2023)

2023-probai

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

2023-ratefunction

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

2024-counterfactual-land

2024-pgm-dccc

2024-probai

asml-tbilisi

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

bcause

inferpy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

oop_f21_forked

Object Oriented Programming Course - Fall Semester 2021

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.

pgmlabweb

pidsia

probabilisticai_tutorials

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

probai-2021-pyro

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

probmodelsdnns

public-files

public-files

pythoncourse-i

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.