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@acerbilab

acerbilab

Machine and Human Intelligence Research Group - University of Helsinki
README.md

Machine and Human Intelligence Group

Official GitHub page of the Machine and Human Intelligence Group at the University of Helsinki.

🚀 Software: Please find below our popular software for statistical model fitting (BADS, VBMC, ...) and other work from the lab.

📚 Publications: All papers in LLM-friendly Markdown format available here.

💬 Community: Using our software? Post questions, comments, and applications in our Discussions forum!

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  1. pyvbmc Public

    PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

    Python 117 7

  2. pybads Public

    PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

    Python 72 2

  3. vbmc Public

    Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

    MATLAB 222 42

  4. bads Public

    Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

    MATLAB 251 39

  5. ibs Public

    Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB

    MATLAB 32 3

  6. pyibs Public

    Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python

    Jupyter Notebook 3

Repositories

Showing 10 of 16 repositories
  • amortized-conditioning-engine Public

    Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)

    Jupyter Notebook 13 Apache-2.0 1 1 0 Updated Mar 22, 2025
  • pubs-llms Public

    Our publications in an LLM-friendly text-only Markdown format

    Python 0 0 0 0 Updated Mar 19, 2025
  • old-datasets Public

    Datasets of old published papers.

    0 MIT 0 0 0 Updated Mar 18, 2025
  • .github Public
    0 0 0 0 Updated Mar 16, 2025
  • pyvbmc Public

    PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

    Python 117 BSD-3-Clause 7 1 1 Updated Feb 1, 2025
  • pybads Public

    PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

    Python 72 BSD-3-Clause 2 1 0 Updated Jan 17, 2025
  • handbook Public

    Lab handbook.

    TeX 0 Apache-2.0 1 0 0 Updated Nov 13, 2024
  • gpyreg Public

    Lightweight Gaussian process regression package in Python.

    Python 2 BSD-3-Clause 0 1 0 Updated Sep 5, 2024
  • vsbq Public
    Python 0 0 0 0 Updated Jun 18, 2024
  • relational-neural-processes Public

    Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)

    Python 2 MIT 0 0 0 Updated Nov 13, 2023
View all repositories

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