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23 repositories

amortized-conditioning-engine
Public
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
bayesian-optimization meta-learning neural-processes
bayesian-optimization meta-learning neural-processes simulation-based-inference probabilistic-machine-learning
Jupyter Notebook
•
Apache License 2.0
•1•23•1•0•Updated Aug 6, 2026Aug 6, 2026
pyvbmc
Public
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
python machine-learning data-analysis
python machine-learning data-analysis bayesian-inference gaussian-processes variational-inference
Python
•
BSD 3-Clause "New" or "Revised" License
•11•131•1•4•Updated Aug 1, 2026Aug 1, 2026
nanoACE
Public
Simple, streamlined implementation of the Amortized Conditioning Engine (ACE) transformer for inference and prediction
Python
•
MIT License
•0•4•0•0•Updated Jun 23, 2026Jun 23, 2026
nanoACE-playground-weights
Public
MIT License
•0•0•0•0•Updated Jun 17, 2026Jun 17, 2026
pubs-llms
Public
Our publications in an LLM-friendly text-only Markdown format
markdown machine-learning papers
markdown machine-learning papers agents llms
Python
•0•1•0•0•Updated Jun 11, 2026Jun 11, 2026
helsinki-probml-pubs
Public
Helsinki ProbML Lab Publications Page Automation
HTML
•10•1•0•0•Updated Jun 6, 2026Jun 6, 2026
prior-guide
Public
PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference (Yang et al., ICLR 2026)
Python
•
MIT License
•1•5•0•0•Updated May 7, 2026May 7, 2026
gpyreg
Public
Lightweight Gaussian process regression package in Python.
Python
•
BSD 3-Clause "New" or "Revised" License
•0•2•1•3•Updated May 2, 2026May 2, 2026
normalizing-flow-regression
Public
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations
bayesian-inference normalizing-flows approximate-inference
bayesian-inference normalizing-flows approximate-inference surrogate-models
Jupyter Notebook
•0•3•0•0•Updated Feb 16, 2026Feb 16, 2026
vsbq
Public
Code for "Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature"
Python
•1•0•0•0•Updated Feb 16, 2026Feb 16, 2026
bads
Public
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
matlab bayesian-optimization optimization-algorithms
matlab bayesian-optimization optimization-algorithms log-likelihood noiseless-functions noisy-functions
MATLAB
•
GNU General Public License v3.0
•40•270•3•0•Updated Dec 5, 2025Dec 5, 2025
handbook
Public
Lab handbook.
TeX
•
Apache License 2.0
•1•0•0•1•Updated Dec 1, 2025Dec 1, 2025
mhi-resources
Public
Useful information for members of the lab.
HTML
•
MIT License
•0•0•0•1•Updated Dec 1, 2025Dec 1, 2025
svbmc
Public
Stacking Variational Bayesian Monte Carlo (S-VBMC) algorithm for combining Variational Bayesian Monte Carlo (VBMC) posteriors to boost inference performance.
python machine-learning data-analysis
python machine-learning data-analysis bayesian-inference variational-inference stacking model-fitting
Python
•
BSD 3-Clause "New" or "Revised" License
•0•2•0•0•Updated Nov 10, 2025Nov 10, 2025
pybads
Public
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
python bayesian-optimization optimization-algorithms
python bayesian-optimization optimization-algorithms log-likelihood noiseless-functions noisy-functions
Python
•
BSD 3-Clause "New" or "Revised" License
•3•93•0•0•Updated Oct 16, 2025Oct 16, 2025
transformer-ar-buffer
Public
Repository for Efficient Autoregressive Inference for Transformer Probabilistic Models paper
0•1•0•0•Updated Oct 9, 2025Oct 9, 2025
relational-neural-processes
Public
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
machine-learning meta-learning neural-processes
machine-learning meta-learning neural-processes equivariance
Python
•
MIT License
•1•2•0•0•Updated Jul 21, 2025Jul 21, 2025
old-datasets
Public
Datasets of old published papers.
MIT License
•0•0•0•0•Updated Mar 18, 2025Mar 18, 2025
.github
Public
0•0•0•0•Updated Mar 16, 2025Mar 16, 2025
ibs
Public
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
matlab sampling likelihood-free
matlab sampling likelihood-free simulation-model log-likelihood
MATLAB
•
MIT License
•4•34•0•0•Updated Jun 25, 2023Jun 25, 2023
pyibs
Public
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
python sampling likelihood-free
python sampling likelihood-free simulation-model log-likelihood
Jupyter Notebook
•
BSD 3-Clause "New" or "Revised" License
•0•4•0•0•Updated Jun 5, 2023Jun 5, 2023
vbmc
Public
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
machine-learning matlab data-analysis
machine-learning matlab data-analysis bayesian-inference gaussian-processes variational-inference
MATLAB
•
BSD 3-Clause "New" or "Revised" License
•44•233•0•0•Updated May 3, 2023May 3, 2023
conda-forge-staged-recipes
Public
Fork for contributing conda-forge recipes (see https://conda-forge.org/docs/maintainer/adding_pkgs.html).
Python
•
BSD 3-Clause "New" or "Revised" License
•6.3k•0•0•0•Updated Dec 7, 2022Dec 7, 2022

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23 repositories

amortized-conditioning-engine

pyvbmc

nanoACE

nanoACE-playground-weights

pubs-llms

helsinki-probml-pubs

prior-guide

gpyreg

normalizing-flow-regression

vsbq

bads

handbook

mhi-resources

svbmc

pybads

transformer-ar-buffer

relational-neural-processes

old-datasets

.github

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23 repositories