We intend this to be an open-source effort that can bridge gaps between communities and hopefully make it easier to apply UQ in projects. So please reach out if you have any feedback, suggestions or would like to contribute :)
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GitHub - lightning-uq-box/lightning-uq-box: Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning - lightning-uq-box/lightning-uq-box
We just released 0.2 of the lightning-uq-box, a PyTorch domain library with Lightning that implements a variety of Uncertainty Quantification Methods for Deep Learning models.
Code: github.com/lightning-uq...
Docs: lightning-uq-box.readthedocs.io/en/latest/
and would love to get your feedback:)
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I would also like to join :)
18.11.2024 21:13 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
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Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Lecturer at the University of Bristol.
probabilistic ML, optimisation, interpretability, LLM evals.
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Research Scientist at Apple for uncertainty quantification.
Professor of Earth Observation and glaciology at University of Bristol and Technical University Munich. Open Access advocate, sports fanatic, European.
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