lightning-hydra-template
pytorch_tempest
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lightning-hydra-template | pytorch_tempest | |
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9 | 3 | |
3,611 | 201 | |
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5.1 | 5.0 | |
23 days ago | 5 months 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.
pytorch_tempest
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If you're using Python, you should probably use a code formatter. (e.g. black)
Here you can see an example of ci in my training pipeline: https://github.com/Erlemar/pytorch_tempest/blob/master/.github/workflows/ci.yml
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Nicest and cleanest Deep Learning codebases out there
DL is all experimentation. You need a framework that makes modification easy, trackable and reproducible. The closest to achieving that these days is based on pytorch lightning with hydra. Check out this video and repo: https://www.youtube.com/watch?v=w10WrRA-6uI https://github.com/Erlemar/pytorch_tempest
What are some alternatives?
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
neptune-client - :ledger: The MLOps stack component for experiment tracking
lightning-transformers - Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning
traingenerator - 🧙 A web app to generate template code for machine learning
neptune-contrib - This library is a location of the LegacyLogger for PyTorch Lightning.
garage - A toolkit for reproducible reinforcement learning research.
deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
nn-template - Generic template to bootstrap your PyTorch project.
omegaconf - Flexible Python configuration system. The last one you will ever need.
material-design-icons-adt-template - Android Studio / Eclipse ADT template for material-design-icons resources
asreview - Active learning for systematic reviews
DiviLOL - Config files for my GitHub profile.