lucadellalib/bayestorch
Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
This library helps machine learning engineers and researchers quickly build and experiment with Bayesian deep learning models. It takes standard neural network architectures and allows you to add uncertainty quantification to their predictions. The output provides models that not only make predictions but also estimate their confidence, which is crucial for applications requiring transparency and reliability.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or researcher who needs to rapidly prototype and evaluate deep learning models that can express uncertainty in their predictions.
Not ideal if you are a practitioner looking for a pre-built, production-ready solution without diving into model architecture or probabilistic programming.
Stars
14
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1
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 24, 2023
Commits (30d)
0
Dependencies
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