Version 0.3.0

Release Notes

• Support new dataset formats (CIFAR-10/100, STL, and more).
• Support pseudo-label dataset generation.
• Add new SSL methods including consistency regularization, FixMatch, and noisy student.
• Fixes and improvements.

What's Changed

• Ensures that the unsup subset is included in the configs using imagewang by @tigist-d in #25
• Add support for consistency regularization (Pi Model) by @vuptran in #27
• Add EMA consistency regularization (Mean Teacher) by @vuptran in #28
• Move EMA config into model config and include logs by @tigist-d in #30
• Add CIFAR-10, CIFAR-100, and STL-10 datasets and baseline models by @tigist-d in #29
• Add FixMatch loss head by @tigist-d in #31
• Add support for pseudo-labeled dataset generation by @tigist-d in #32
• Add noisy student training configurations by @tigist-d in #33
• Fix minor issues with docs by @tigist-d in #34

Full Changelog: v0.2.0...v0.3.0