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- # TorchDrift -- drift detection on PyTorch
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+ # TorchDrift: drift detection on PyTorch
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- TorchDrift lets you monitor your PyTorch models to see if the data
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- matches what it has been trained for. We focus on practical application
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+ TorchDrift is a data and concept drift library for PyTorch. It lets you monitor your PyTorch models to see if they operate within spec.
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+ We focus on practical application
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and strive to seamlessly integrate with PyTorch.
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# Installation
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- Welcome to TorchDrift!
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- ======================
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+ TorchDrift: drift detection on PyTorch
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+ ======================================
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- TorchDrift is a PyTorch package for monitoring models and detecting drift.
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+ TorchDrift is a data and concept drift library for PyTorch. It lets you monitor your PyTorch models to see if they operate within spec.
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+
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+ We focus on practical application
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+ and strive to seamlessly integrate with PyTorch.
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.. toctree ::
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:maxdepth: 2
@@ -32,8 +35,30 @@ TorchDrift is a PyTorch package for monitoring models and detecting drift.
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reducers
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data_functional
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utils
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-
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-
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+
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+
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+ Authors
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+ =======
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+
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+ TorchDrift is a joint project of Orobix Srl, Bergamo, Italy and
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+ MathInf GmbH, Garching b. München, Germany.
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+
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+ The TorchDrift Team: Thomas Viehmann, Luca Antiga, Daniele Cortinovis, Lisa Lozza
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+
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+ Acknowledgements
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+ ================
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+
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+ We were inspired by
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+
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+ - Failing Loudly: An Empirical Study of Methods for Detecting Dataset
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+ Shift, NeurIPS 2019
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+ https://github.com/steverab/failing-loudly
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+ - Hendrycks & Dietterich:
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+ Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
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+ ICLR 2019
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+ https://github.com/hendrycks/robustness/
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+ - Van Looveren et al.: Alibi Detect https://github.com/SeldonIO/alibi-detect/
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+
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Indices and tables
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==================
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