dario-coscia/barnn
BARNN: A Bayesian Autoregressive and Recurrent Neural Network - Official Repository
BARNN helps scientists and engineers working with complex systems like molecular modeling or partial differential equations to build more reliable predictive models. It takes your existing sequence-based models and enhances them to provide not just predictions, but also a clear understanding of the uncertainty in those predictions. This allows you to make more informed decisions based on the model's output.
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Use this if you need to understand the reliability and confidence of predictions from your sequence models, especially in fields like drug discovery or scientific simulations.
Not ideal if your primary goal is simply generating sequences without any need for uncertainty quantification or if you are working with non-sequential data.
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Jupyter Notebook
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MIT
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Last pushed
Mar 10, 2025
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