Version 1.0.0b1

What's Changed

• Refactor the configs to support self-superised pretraining and add torchvision backbones by @tigist-d in #43
• Fixes EMA update in fully supervised mode by @tigist-d in #44
• Improve logging support by @tigist-d in #45
• Refactor datasets by @tigist-d in #46
• Enforce a naturally sorted build order for loss heads by @tigist-d in #47
• Add optional kNN evaluation support by @tigist-d in #48
• Improve data loading with mix of small and large datasets by @tigist-d in #49
• Enforce naming conventions throughout the codebase by @tigist-d in #50
• Fix support for unbounded iterable datasets by @tigist-d in #51
• Add a class-weighted (e.g. balanced) dataset wrapper by @tigist-d in #52
• Refactor dataset and loss head modules by @tigist-d in #53
• Various fixes and improvements resulting from testing by @tigist-d in #54
• Add unit test suite by @tigist-d in #55
• Update documentation and enable automated builds using readthedocs by @tigist-d in #56
• Upgrade Python version and include sesemi as a requirement in the readthedocs build by @tigist-d in #57

Full Changelog: v0.3.0...v1.0.0b1