PGM-Lab

Pinned Repositories

2022-AISTATS-diversity
Language:Python4 3 02
2022-ProbAI
Language:Jupyter Notebook20 1 14
2023-ProbAI
Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
Language:Jupyter Notebook17 1 05
bcause
Language:Python8 5 11
InferPy
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Language:Jupyter Notebook148 9 20814
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.
Language:Jupyter Notebook9 6 03
probabilisticAI_tutorials
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)
Language:Jupyter Notebook20 10 117
probai-2021-pyro
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
Language:Jupyter Notebook48 6 013
ProbModelsDNNs
Language:Jupyter Notebook6 4 04
pythoncourse-I
Language:Jupyter Notebook3 4 01

PGM-Lab's Repositories

PGM-Lab/InferPy
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Language:Jupyter Notebook148 9 20814
PGM-Lab/probai-2021-pyro
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
Language:Jupyter Notebook48 6 013
PGM-Lab/2022-ProbAI
Language:Jupyter Notebook20 1 14
PGM-Lab/probabilisticAI_tutorials
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)
Language:Jupyter Notebook20 10 117
PGM-Lab/2023-ProbAI
Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
Language:Jupyter Notebook17 1 05
PGM-Lab/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.
Language:Jupyter Notebook9 6 03
PGM-Lab/bcause
Language:Python8 5 11
PGM-Lab/ProbModelsDNNs
Language:Jupyter Notebook6 4 04
PGM-Lab/2022-AISTATS-diversity
Language:Python4 3 02
PGM-Lab/2024-ProbAI
Language:Jupyter Notebook3 3 0
PGM-Lab/pythoncourse-I
Language:Jupyter Notebook3 4 01
PGM-Lab/2023-PhD-Course-PML
PhD Course - Introduction to Probabilistic Machine Learning (2023)
Language:Jupyter Notebook2 1 00
PGM-Lab/2023-RateFunction
Official Repository for Understanding Generalization in the Interpolation Regime using the Rate Function
Language:Jupyter Notebook2 2 00
PGM-Lab/ASML-Tbilisi
Repository for the course PPLs with DNNs at Autumn school on Machine Learning, Tbilisi, Georgia, October 3-11, 2019.
Language:Jupyter Notebook2 4 01
PGM-Lab/2017-CDdiscrete-AMIDST
AMIDST development for concept drift detection in discrete streaming data
Language:Java1 4 0
PGM-Lab/2025-PhD-Course-PML
Language:Jupyter Notebook1 2 01
PGM-Lab/2018-ipmu-subconcept
Code for the paper about subconcept drift detection in discrete streaming data
Language:TeX5 0
PGM-Lab/2024-PGM-DCCC
Language:Python1 0
PGM-Lab/2025-counterfactual-land
Language:Java1 0
PGM-Lab/2025-IJAR-DCCC
PGM-Lab/OOP_F21_Forked
Object Oriented Programming Course - Fall Semester 2021
Language:Java1 01
PGM-Lab/pgmlabweb
Language:HTML10 01
PGM-Lab/pidsia
Language:Jupyter Notebook5 0
PGM-Lab/public-files
public-files
Language:TeX4 0
PGM-Lab/Temporal
Temporal Repo
Language:Java1 0
PGM-Lab/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
Language:Python0 0
PGM-Lab/uncertainty-metrics
An easy-to-use interface for measuring uncertainty and robustness.
Language:Python0 0