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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 pyvbmc Public

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

    Python 122 8

  2. pybads pybads Public

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

    Python 80 3

  3. vbmc vbmc Public

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

    MATLAB 232 43

  4. bads bads Public

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

    MATLAB 261 40

  5. ibs ibs Public

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

    MATLAB 32 3

  6. amortized-conditioning-engine amortized-conditioning-engine Public

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

    Jupyter Notebook 21 2

Repositories

Showing 10 of 21 repositories
  • bads Public

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

    acerbilab/bads’s past year of commit activity
    MATLAB 261 GPL-3.0 40 3 0 Updated Dec 5, 2025
  • handbook Public

    Lab handbook.

    acerbilab/handbook’s past year of commit activity
    TeX 0 Apache-2.0 1 0 1 Updated Dec 1, 2025
  • mhi-resources Public

    Useful information for members of the lab.

    acerbilab/mhi-resources’s past year of commit activity
    HTML 0 MIT 0 0 1 Updated Dec 1, 2025
  • pyvbmc Public

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

    acerbilab/pyvbmc’s past year of commit activity
    Python 122 BSD-3-Clause 8 1 4 Updated Dec 1, 2025
  • helsinki-probml-pubs Public

    Helsinki ProbML Lab Publications Page Automation

    acerbilab/helsinki-probml-pubs’s past year of commit activity
    HTML 1 4 0 0 Updated Nov 25, 2025
  • pubs-llms Public

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

    acerbilab/pubs-llms’s past year of commit activity
    Python 1 0 0 0 Updated Nov 21, 2025
  • svbmc Public

    Stacking Variational Bayesian Monte Carlo (S-VBMC) algorithm for combining Variational Bayesian Monte Carlo (VBMC) posteriors to boost inference performance.

    acerbilab/svbmc’s past year of commit activity
    Python 0 BSD-3-Clause 0 0 0 Updated Nov 10, 2025
  • pybads Public

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

    acerbilab/pybads’s past year of commit activity
    Python 80 BSD-3-Clause 3 0 0 Updated Oct 16, 2025
  • prior-guide Public

    PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference

    acerbilab/prior-guide’s past year of commit activity
    0 0 0 0 Updated Oct 13, 2025
  • transformer-ar-buffer Public

    Repository for Efficient Autoregressive Inference for Transformer Probabilistic Models paper

    acerbilab/transformer-ar-buffer’s past year of commit activity
    0 0 0 0 Updated Oct 9, 2025
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