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Releases: ENSTA-U2IS-AI/torch-uncertainty

v0.4.1

21 Jan 14:54
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v0.4.1 Pre-release
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What's Changed

Full Changelog: v0.4.0...v0.4.1

v0.4.0 :sparkles: Rework distributions

06 Jan 17:09
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The distributions for the regression and pixel-wise regression have been completely reworked through breaking changes. Have a look at the quality of life improvements to fix the code and use the last version if you are using the RegressionRoutine and/or PixelRegressionRoutine!

What's Changed

  • 👕 Change character per line limit to 100 & remove explicit dependencies from pyproject by @o-laurent in #124
  • 🔨 Rework for Probabilistic Regression & Pixel Regression by @alafage in #125
  • 🐛 Fix small MUAD dataset URL by @sofiia-chorna in #127
  • 🎨 Rework Probabilistic Regression and add Packed-Transformer layers by @alafage in #126

New Contributors

Full Changelog: v0.3.1...v0.4.0

v0.3.1 Add UCI classification datasets, improve binary classification, add LS support for BCEWithLogitsLoss, Remove dependencies

18 Nov 09:39
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What's Changed

  • ✨ Add UCI classification datasets, improve binary classification, add LS support for BCEWithLogitsLoss, remove dependencies by @o-laurent and @alafage in #122

Thanks, @alafage, for the review.

Full Changelog: v0.3.0...v0.3.1

v0.3.0 Add distribution shift evaluation & more

22 Oct 14:15
e0b7a54
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Details

✨ Add evaluation of the metrics on a shifted dataset using the new --eval_shift argument
✨ Add a corrupted dataset
✨ Add new Packed layers
✨ Add the focal loss
👕 Plot segmentation results in the SegmentationRoutine
👕 Rework reliability diagrams for Calibration Error plot
➖ Make some dependencies
🐛 Fix corruption transforms

What's Changed

  • 🔧 Maintenance and small improvements by @o-laurent in #114
  • 🐛 Fix OOD & Post Processing at the same time & other small changes by @o-laurent in #115
  • 👕 Complete metric overhaul, improve PP handling & fix Laplace by @o-laurent in #116
  • 🎨 On the road to 0.3.0: Adding shift evaluation & more by @alafage in #117

Full Changelog: v0.2.2...v0.3.0

v0.2.2.post2 Improve metrics plotting, PP handling and fix the Laplace wrapper

02 Oct 09:01
74e641a
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What's Changed

  • 👕 Complete metric overhaul, improve PP handling & fix Laplace by @alafage in #116

Full Changelog: v0.2.2.post1...v0.2.2.post2

v0.2.2.post1 Small fixes and improvements

29 Sep 21:34
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What's Changed

  • 🐛 Fix OOD & Post Processing at the same time & other small changes by @o-laurent in #115

Full Changelog: v0.2.2.post0...v0.2.2.post1

Maintenance and minor improvements

24 Sep 10:04
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Full Changelog: v0.2.2...v0.2.2.post0

✨ Add ChannelLayerNorm, Conflictual Loss, AUGRC & improve code quality

04 Sep 13:19
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What's Changed

  • 👕 Small fixes and improvements by @o-laurent in #109
  • ✨ Add ChannelLayerNorm, Conflictual Loss, AUGRC & improve code quality by @alafage in #111

Full Changelog: v0.2.1...v0.2.2

:shirt: Minor improvements

17 Jul 11:58
b978306
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What's Changed

  • We improve the handling of optional packages.
  • We fix AURC metrics in the multi-GPU setting
  • We improve the mc-dropout wrapper and its documentation

Full Changelog: v0.2.1...v0.2.1.post0

v0.2.1 Add Checkpoint Ensembles, EMA, SWA, & SWAG, LaplaceApprox & ABNN

26 Jun 21:03
1c90613
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What's Changed

  • ✨ Add LPBNN in #90
  • ✨ Implement Adaptive ECE metric by @qbouniot in #92
  • ✨ Finalize Depth Estimation, add DeeplabV3, & Add Selective Classification in #88
  • ✨ Add LPBNN, Adaptive ECE, start supporting Depth estimation & Improve segmentation in #93
  • 🐛 Fix documentation in #95
  • ✨ Add a Laplace wrapper in #96
  • ✨ Add trajectory models, including Snapshot Ensembles in #101
  • ✨ Refactor wrappers & PP, Add Checkpoint Ensembles, EMA, SWA, & SWAG, Add LaplaceApprox & ABNN in #98

Thanks to @alafage for the review.

Full Changelog: v0.2.0...v0.2.1

What's Changed

  • ✨ Add LPBNN by @o-laurent in #90
  • ✨ Implement Adaptive ECE metric by @qbouniot in #92
  • ✨ Finalize Depth Estimation, add DeeplabV3, & Add Selective Classification by @o-laurent in #88
  • ✨ Add LPBNN, Adaptive ECE, start supporting Depth estimation & Improve segmentation by @o-laurent in #93
  • 🐛 Fix documentation by @o-laurent in #95
  • ✨ Add a Laplace wrapper by @o-laurent in #96
  • ✨ Add trajectory models including Snapshot Ensembles by @o-laurent in #101
  • ✨ Refactor wrappers & PP, Add Checkpoint Ensembles, EMA, SWA, & SWAG, Add LaplaceApprox & ABNN by @o-laurent in #98
  • ⚡ Bump version by @o-laurent in #108

Full Changelog: v0.2.0...v0.2.1