pytorch_warmup and pytorch-gradual-warmup-lr
These are competitors offering similar learning rate warmup scheduling functionality for PyTorch, with the second providing a more feature-rich gradual warmup approach compared to the first's simpler warmup implementation.
About pytorch_warmup
Tony-Y/pytorch_warmup
Learning Rate Warmup in PyTorch
This is a PyTorch extension that helps machine learning engineers and researchers stabilize the initial training of deep learning models. It takes your existing PyTorch optimizer and learning rate scheduler, applies various 'warmup' schedules, and outputs a more stable and potentially faster model training process. The primary users are deep learning practitioners who build and train neural networks.
About pytorch-gradual-warmup-lr
ildoonet/pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
This tool helps machine learning engineers and researchers manage the learning rate of their PyTorch models during the initial stages of training. It takes your existing optimizer and a defined learning rate schedule, and then gradually increases the learning rate over a specified number of epochs. This process helps stabilize model training, especially when using large batch sizes, leading to better overall performance.
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