neptune-contrib
lightning-hydra-template
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neptune-contrib | lightning-hydra-template | |
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0 | 9 | |
27 | 3,611 | |
- | - | |
0.0 | 5.1 | |
over 1 year ago | 22 days ago | |
Python | Python | |
MIT License | MIT License |
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lightning-hydra-template
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Best practice for saving logits/activation values of model in PyTorch Lightning
I've been trying to learn PyTorch Lightning and Hydra in order to use/create my own custom deep learning template (e.g. like this) as it would greatly help with my research workflow. A lot of the work I do requires me to analyse metrics based on the logits/activations of the model.
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[D] Any research specific PyTorch based boilerplate code?
This lightning + hydra template is quite complete. Great for learning best practices.
What are some alternatives?
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
pytorch_tempest - My repo for training neural nets using pytorch-lightning and hydra
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