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