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+### Current progress:
+
+- General
+ - [x] Random color distortion (from SimCLR)
+ - [x] Random Gaussian blur (from SimCLR)
+ - [ ] Random multi-crop (from SwAV)
+ - [ ] InfoNCE loss
+ - [ ] Momentum encoder
+ - [ ] Selective Kernel (SK) convolution layer (used in SimCLR v2)
+ - [x] LARS optimizer
+ - [x] Consine annealing with linear warmup scheduler
+ - [x] Linear scheduler (for torch<=1.9)
+ - [x] CSV logger
+ - [x] TensorBoard logger
+ - [x] Checkpoint saving and restoring
+ - [x] Command line parameter parser
+ - [x] YAML parameter parser
+ - [ ] PyTorch workflow encapsulation
+ - [ ] Dedicated evaluation script
+ - [ ] Detailed readme file
+ - [ ] Data Parallel
+ - [ ] Distributed Data Parallel
+ - [ ] Global batch normalization
+ - [ ] Shuffling batch normalization
+
+- Supervised baseline
+ - [x] ResNet
+ - [ ] ViT
+ - [x] CIFAR-10
+ - [ ] CIFAR-100
+ - [x] ImageNet-1k
+
+- Self-supervised baseline
+ - [ ] SimCLR (contrastive, ResNet)
+ - [ ] MoCo v2 (contrastive, ResNet)
+ - [ ] MoCo v3 (contrastive, ViT)
+ - [ ] BYOL (non-contrastive, ResNet)
+ - [ ] DINO (self-distillation, ViT)
+
+To be continued ...