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PGM-Lab

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  1. InferPy InferPy Public

    InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

    Jupyter Notebook 143 14

  2. PAC2BAYES PAC2BAYES Public

    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 Variationa…

    Jupyter Notebook 9 3

  3. 2022-AISTATS-diversity 2022-AISTATS-diversity Public

    Python 4 1

  4. 2023-ProbAI 2023-ProbAI Public

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

    Jupyter Notebook 17 5

Repositories

Showing 10 of 25 repositories
  • PGM-Lab/2024-ProbAI’s past year of commit activity
    Jupyter Notebook 2 Apache-2.0 0 0 0 Updated Jun 18, 2024
  • PGM-Lab/2024-PGM-DCCC’s past year of commit activity
    Python 0 0 0 0 Updated May 28, 2024
  • bcause Public
    PGM-Lab/bcause’s past year of commit activity
    Python 3 Apache-2.0 0 1 0 Updated May 28, 2024
  • PGM-Lab/2024-counterfactual-land’s past year of commit activity
    Java 0 0 0 0 Updated Apr 10, 2024
  • 2023-RateFunction Public

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

    PGM-Lab/2023-RateFunction’s past year of commit activity
    Jupyter Notebook 2 0 0 0 Updated Mar 12, 2024
  • 2023-PhD-Course-PML Public

    PhD Course - Introduction to Probabilistic Machine Learning (2023)

    PGM-Lab/2023-PhD-Course-PML’s past year of commit activity
    Jupyter Notebook 2 Apache-2.0 0 0 0 Updated Nov 23, 2023
  • 2023-ProbAI Public

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

    PGM-Lab/2023-ProbAI’s past year of commit activity
    Jupyter Notebook 17 Apache-2.0 5 0 0 Updated Jun 13, 2023
  • InferPy Public

    InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

    PGM-Lab/InferPy’s past year of commit activity
    Jupyter Notebook 143 Apache-2.0 14 64 0 Updated Apr 14, 2023
  • PAC2BAYES Public

    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.

    PGM-Lab/PAC2BAYES’s past year of commit activity
    Jupyter Notebook 9 Apache-2.0 3 0 0 Updated Mar 29, 2023
  • PGM-Lab/ProbModelsDNNs’s past year of commit activity
    Jupyter Notebook 6 4 0 12 Updated Feb 2, 2023

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