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Add an issue template for Code Improvement (#8960)
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--- | ||
name: Code improvement | ||
about: Suggest a code improvement, i.e. refactoring, deprecation, etc. | ||
title: '' | ||
labels: enhancement, help wanted, refactors / code health | ||
assignees: '' | ||
--- | ||
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## Proposed refactoring or deprecation | ||
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<!-- A clear and concise description of the code improvement --> | ||
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### Motivation | ||
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<!-- Please outline the motivation for the proposal. If this is related to another GitHub issue, please link here too --> | ||
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### Pitch | ||
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<!-- A clear and concise description of what you want to happen. --> | ||
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### Additional context | ||
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<!-- Add any other context or screenshots here. --> | ||
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______________________________________________________________________ | ||
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#### If you enjoy Lightning, check out our other projects! ⚡ | ||
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<sub> | ||
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- [**Metrics**](https://github.com/PyTorchLightning/metrics): Machine learning metrics for distributed, scalable PyTorch applications. | ||
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- [**Flash**](https://github.com/PyTorchLightning/lightning-flash): The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning | ||
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- [**Bolts**](https://github.com/PyTorchLightning/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch | ||
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- [**Lightning Transformers**](https://github.com/PyTorchLightning/lightning-transformers): Flexible interface for high performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra. | ||
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</sub> |