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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. For more information and video tutorials, see our model-fitting hub page.

📚 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. amortized-conditioning-engine amortized-conditioning-engine Public

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

    Jupyter Notebook 25 1

  2. nanoACE nanoACE Public

    Simple, streamlined implementation of the Amortized Conditioning Engine (ACE) transformer for inference and prediction

    Python 5 1

  3. pyvbmc pyvbmc Public

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

    Python 135 11

  4. pybads pybads Public

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

    Python 96 3

  5. vbmc vbmc Public

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

    MATLAB 234 44

  6. bads bads Public

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

    MATLAB 272 40

Repositories

Showing 10 of 26 repositories
  • helsinki-probml-pubs Public

    Helsinki ProbML Lab Publications Page Automation

    acerbilab/helsinki-probml-pubs's past year of commit activity
    HTML 1 11 0 0 Updated Oct 12, 2026
  • pyvbmc Public

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

    acerbilab/pyvbmc's past year of commit activity
    Python 135 BSD-3-Clause 11 0 0 Updated Oct 12, 2026
  • pybads Public

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

    acerbilab/pybads's past year of commit activity
    Python 96 BSD-3-Clause 3 0 0 Updated Oct 12, 2026
  • 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 3 BSD-3-Clause 0 0 0 Updated Oct 12, 2026
  • pyibs Public

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

    acerbilab/pyibs's past year of commit activity
    Python 4 BSD-3-Clause 0 0 0 Updated Oct 12, 2026
  • gpyreg Public

    Lightweight Gaussian process regression package in Python.

    acerbilab/gpyreg's past year of commit activity
    Python 2 BSD-3-Clause 0 1 2 Updated Oct 12, 2026
  • model-fitting Public

    Hub for the lab's model-fitting tools: PyBADS, PyVBMC, PyIBS

    acerbilab/model-fitting's past year of commit activity
    HTML 0 0 0 0 Updated Oct 12, 2026
  • .github Public
    acerbilab/.github's past year of commit activity
    0 0 0 0 Updated Oct 12, 2026
  • bads Public

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

    acerbilab/bads's past year of commit activity
    MATLAB 272 GPL-3.0 40 3 0 Updated Oct 7, 2026
  • one-cause-or-two Public

    One cause or two? An animated short about multisensory causal inference and the study by Liu, Holland, Ma & Acerbi (PLOS Comput Biol 2026)

    acerbilab/one-cause-or-two's past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Oct 3, 2026
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