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

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

    Jupyter Notebook 24 1

  2. nanoACE nanoACE Public

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

    Python 4

  3. pyvbmc pyvbmc Public

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

    Python 132 11

  4. pybads pybads Public

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

    Python 95 3

  5. vbmc vbmc Public

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

    MATLAB 233 44

  6. bads bads Public

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

    MATLAB 271 40

Repositories

Showing 10 of 23 repositories
  • pyvbmc Public

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

    acerbilab/pyvbmc's past year of commit activity
    Python 132 BSD-3-Clause 11 1 4 Updated Sep 20, 2026
  • amortized-conditioning-engine Public

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

    acerbilab/amortized-conditioning-engine's past year of commit activity
    Jupyter Notebook 24 Apache-2.0 1 1 0 Updated Sep 15, 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 3 Updated Sep 14, 2026
  • 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 Sep 8, 2026
  • nanoACE Public

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

    acerbilab/nanoACE's past year of commit activity
    Python 4 MIT 0 0 0 Updated Jun 23, 2026
  • nanoACE-playground-weights Public
    acerbilab/nanoACE-playground-weights's past year of commit activity
    0 MIT 0 0 0 Updated Jun 17, 2026
  • helsinki-probml-pubs Public

    Helsinki ProbML Lab Publications Page Automation

    acerbilab/helsinki-probml-pubs's past year of commit activity
    HTML 1 10 0 0 Updated Jun 6, 2026
  • prior-guide Public

    PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference (Yang et al., ICLR 2026)

    acerbilab/prior-guide's past year of commit activity
    Python 5 MIT 1 0 0 Updated May 7, 2026
  • normalizing-flow-regression Public

    Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations

    acerbilab/normalizing-flow-regression's past year of commit activity
    Jupyter Notebook 3 0 0 0 Updated Feb 16, 2026
  • vsbq Public

    Code for "Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature"

    acerbilab/vsbq's past year of commit activity
    Python 0 1 0 0 Updated Feb 16, 2026
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