Add Evidential Classification & Regression, add Mixup and variants, fix MC-Dropout, add Sparsification metric and plots for calibration, switch to flit & ruff

What's Changed

• ✨ Improve documentation, Enable BNN on GPUs, improve BNN code & code overall quality by @o-laurent in #44
• ✨ Continue improving Bayesian layers, & Fix MI in rare cases by @o-laurent in #45
• ✨ Add Deep Evidential Regression, generalize Packed layers, and refactor the datasets by @badrmarani in #46 and @o-laurent in #48
• ✨ Add visualization tools by @o-laurent in #50
• ⬆️ Bump urllib3 from 2.0.6 to 2.0.7 by @dependabot in #51
• ✨ Add MC-Dropout & Visualization tools by by @badrmarani in #49 and @o-laurent in #53
• ⬆️ Bump werkzeug from 3.0.0 to 3.0.1 by @dependabot in #62
• 🔧 Switch to ruff instead of black + isort + flake8 by @o-laurent in #64
• ✨ Add Evidential Classification, switch to ruff, update packages by @xuanlongORZ in #56 and @o-laurent in #65
• ✨ add beta nll, a modified GaussianNLL by @xuanlongORZ in #66
• ✨ Mixup variants + Cross validation + Temperature scaling in routines by @qbouniot in #63
• 👕 Extend ruff rules by @o-laurent in #67
• 🔥 Remove poetry & add flit by @o-laurent in #69
• 👕 Improve the code and the documentation by @o-laurent in #71
• ✨ Sparsification metric and plot methods for Calibration Error by @alafage in #68
• 🐛 Fix Monte-Carlo Dropout by @o-laurent in #73
• ✨ Remove Poetry, add Mixup, rework metrics, & improve code quality by @o-laurent in #70
• 🔧 Update sphinx dependency by @o-laurent in #74

New Contributors

• @badrmarani made their first contribution in #46
• @dependabot made their first contribution in #51
• @xuanlongORZ made their first contribution in #56
• @qbouniot made their first contribution in #63

Huge thanks to them!

Full Changelog: v0.1.4...v0.1.5

MIMO, Scalers, & more datasets

MIMO, Scalers, & more datasets

In this PR, we added a new preprocessing function for MIMO-like networks. We added different post-hoc scaling methods to improve the calibration. We added MNIST-C and TinyImageNet-C to the corrupted datasets. Furthermore, we refined the GitHub workflow to improve the development chain. Finally, we also added one tutorial for temperature scaling.

What's Changed

• Add scalers, TinyImageNet-C & various improvements by @o-laurent in #37
• Add MNIST-C, a tutorial, & small fixes by @o-laurent in #38
• 📖 Improve the scaling tutorial & misc by @o-laurent in #39
• ✨ Add MIMO by @alafage in #41
• Add MIMO, NotMNIST, improve coverage, and Misc by @o-laurent in #42

Full Changelog: v0.1.3...v0.1.4

Add Regression, Bayesian Neural Networks, & Deep Ensembles

New functionalities

• Regression training and testing (routine, dataset, experiment, etc)
• Bayesian Neural Networks (Linear, Conv, Sampler, ELBO, tutorial)
• Deep Ensembles (Routine & model)
• Add VGG
• relax constraints on the packages
• Improve coverage

Pull Requests merged

• Add contribution page and rework readme 📖 in #26
• ✨ Enable regression & misc in #27
• ✨ Add support for regression & BNNs in #30

Full Changelog: v0.1.2...v0.1.3

Rework baselines & Add datasets

What's Changed

• Rework baselines to increase code reuse and simplify their use.
• Add post-hoc temperature scaling
• Add ImageNet variations (A, O, R)
• Add dataset autodownload
• Add transforms for PixMix.
• Update packages

Pull Requests

• Rework baselines by @alafage in #25
• Merge dev in main ✨ by @o-laurent in #24

Full Changelog: v0.1.1...v0.1.2

Add baselines & Improve documentation

What's Changed

• Doc theme by @alafage in #12
• Add logos 🎨
• Add WR baselines for BatchEnsembles and Masksembles ✨
• Switch to ImageNet structure by default and add the corresponding parameter 🔨
• Add CIFAR-10H support ✨
• Refactor Packed layers to ease understanding 🔨
• Start handling HF weights ✨
• Improve the documentation & ReadMe 📚
• Add a reference page 📖
• Improve test coverage ✔️
• Update packages ⚡
• Make the logo's background transparent 👕
• Remove old implementations of the metrics 🔥
• Add channel-last support ✨
• Major metrics updates 🐛 🎨
• Improve tests

New Contributors

• @pomonam made their first contribution in #13
• @nshdesai made their first contribution in #14

Full Changelog: v0.1.0...v0.1.1

Torch Uncertainty First Release

• Add first baselines
• Add metrics
• Add tests
• Add documentation