bayesflow

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9 repositories

bayesflow
Public
A Python library for amortized Bayesian workflows using generative neural networks.
deep-learning parameter-estimation bayesian-inference uncertainty-quantification likelihood-free model-comparison amortized-inference simulation-based invertible-networks
Python
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MIT License
•56•404•25•5•Updated Jan 2, 2025Jan 2, 2025
Non-Stationary-DDM-Validation
Public
Contains the code and data for reproducing the results of the paper "Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application".
Jupyter Notebook
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MIT License
•0•6•0•0•Updated Dec 3, 2024Dec 3, 2024
self-consistency-abi
Public
Jupyter Notebook
•1•1•0•0•Updated Nov 15, 2024Nov 15, 2024
awesome-amortized-inference
Public
This is a community-driven collection of resources around amortized inference.
awesome bayesian-inference uncertainty-quantification inverse-problems awesome-lists amortized-inference
TeX
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Creative Commons Zero v1.0 Universal
•3•25•5•0•Updated Nov 9, 2024Nov 9, 2024
consistency-model-posterior-estimation
Public
Jupyter Notebook
•0•2•0•0•Updated Nov 4, 2024Nov 4, 2024
SA-ABI
Public
Contains the code accompanying the paper "Sensitivity-Aware Amortized Bayesian Inference".
Jupyter Notebook
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MIT License
•0•4•0•0•Updated Aug 26, 2024Aug 26, 2024
Hierarchical-Model-Comparison
Public
Code accompanying the paper "A Deep Learning Method for Comparing Bayesian Hierarchical Models".
Jupyter Notebook
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MIT License
•1•7•0•0•Updated Nov 23, 2023Nov 23, 2023
JANA-Paper
Public
Contains the code accompanying the paper "JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models"
Jupyter Notebook
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MIT License
•0•7•0•0•Updated Aug 25, 2023Aug 25, 2023
Neural-Superstatistics
Public
Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition".
Jupyter Notebook
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MIT License
•0•10•0•0•Updated Aug 18, 2023Aug 18, 2023