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A (warmup) (cyclic) flat and anneal learning rate scheduler in pytorch
A method for assigning separate learning rate schedulers to different parameters group in a model.
Contains the examples which covers how to incrementally train, how to implement learning_rate scheduler, and how to implement custom objective and evaluation function in case of lightgbm/xgboost models.
Cosine Annealed 1cycle Policy for PyTorch
Class activation maps, Weight Updates, Optimizers & LR Schedulers
TinyYoloV2 imagenet 1K results.
Built a custom adam scheduler using gradient clipping, LR scheduling, momentum updates, with two different loss functions