PGM-Lab/2024-counterfactual-land

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PGM-Lab/bcause

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PGM-Lab/InferPy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

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PGM-Lab/2023-PhD-Course-PML

PhD Course - Introduction to Probabilistic Machine Learning (2023)

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PGM-Lab/ProbModelsDNNs

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PGM-Lab/2017-CDdiscrete-AMIDST Fork of amidst/toolbox

AMIDST development for concept drift detection in discrete streaming data

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PGM-Lab/2023-RateFunction

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

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PGM-Lab/2023-ProbAI

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

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PGM-Lab/2022-ProbAI

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PGM-Lab/probai-2021-pyro

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

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PGM-Lab/2022-AISTATS-diversity

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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.

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PGM-Lab/OOP_F21_Forked Fork of andresmasegosa/OOP_F21

Object Oriented Programming Course - Fall Semester 2021

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PGM-Lab/Temporal

Temporal Repo

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PGM-Lab/probabilisticAI_tutorials

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

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PGM-Lab/uncertainty-metrics Fork of kashif/uncertainty-metrics

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

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PGM-Lab/uncertainty-baselines Fork of google/uncertainty-baselines

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

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PGM-Lab/ASML-Tbilisi

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

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PGM-Lab/pidsia

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PGM-Lab/public-files

public-files

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PGM-Lab/pythoncourse-I

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PGM-Lab/pgmlabweb

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PGM-Lab/2018-ipmu-subconcept

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

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