BayesFlow

An organization for applications and extensions of amortized Bayesian inference.

Germany

Pinned Repositories

Hierarchical-Model-Comparison
Code accompanying the paper "A Deep Learning Method for Comparing Bayesian Hierarchical Models".
Language:Jupyter Notebook61
JANA-Paper
Contains the code accompanying the paper "JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models"
Language:Jupyter Notebook7 3 00
Neural-Superstatistics
Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition".
Language:Jupyter Notebook10 4 00
Non-Stationary-DDM-Validation
Contains the code and data for reproducing the results of the paper "Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application".
Language:Jupyter Notebook10

bayesflow-org/Neural-Superstatistics
Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition".
Language:Jupyter Notebook10 4 00
bayesflow-org/JANA-Paper
Contains the code accompanying the paper "JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models"
Language:Jupyter Notebook7 3 00
bayesflow-org/Hierarchical-Model-Comparison
Code accompanying the paper "A Deep Learning Method for Comparing Bayesian Hierarchical Models".
Language:Jupyter Notebook61
bayesflow-org/Non-Stationary-DDM-Validation
Contains the code and data for reproducing the results of the paper "Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application".
Language:Jupyter Notebook10