Products
Explore software and interactive tools that turn our research into practical Bayesian modeling workflows.
Generative AI for Bayesian Statistics
BayesFlow
BayesFlow is a Python library for simulation-based inference with generative AI. It provides users and researchers with a user-friendly API for amortized Bayesian workflows, AI research, and multi-backend support via Keras3.
Model-based fNIRS analysis with AI
fNIRS SimBox
We are developing a full-head 3D fNIRS simulator that will be used for in silico neuroimaging and model-based analysis. We are also creating AI models for real-time model calibration and data interpretation, targeting application areas like surgical training.
Learn All Your Models Once
CogFormer
CogFormer is the first incarnation of the BayesGPT project, allowing cognitive modelers to perform near-instant Bayesian modeling on a combinatorial space of design configurations. The web app lets you interact with a pre-trained version of CogFormer v1.
A closer look at your Bayesian workflow
Bayesify
Upload a paper to assess its reported Bayesian workflow against a gold standard. Bayesify detects intent and returns quality scores, supporting passages, and suggestions for improvement.
Bayesian Dynamic Modeling in Python
superstats
Superstats is a Python library for simulation and Bayesian estimation of dynamic models with time-varying parameters. It is a thin wrapper over BayesFlow that allows users to focus on model design, validation, and predictions.