OpenBioSeq Release V0.2.0

Highlight

• Support various popular backbones (ConvNets and ViTs), image datasets, popular mixup methods, and benchmarks for supervised learning. Config files are available.
• Support popular self-supervised methods (e.g., BYOL, MoCo.V3, MAE) on large-scale and small-scale datasets and self-supervised benchmarks (merged from MMSelfSup). Config files are available. Support BERT pre-training method and update config files.
• Support analyzing tools for self-supervised learning (kNN/SVM/linear metrics and t-SNE/UMAP visualization).
• Convenient usage of configs: fast configs generation by 'auto_train.py' and configs inheriting (MMCV).
• Support mixed-precision training (NVIDIA Apex or MMCV Apex).
• Refactor openbioseq.core and support Adan optimizer.
• Add demo of gRNA inference.

Bug Fixes

• Done code refactoring follows MMSelfSup and MMClassification.