48 lines
2.0 KiB
YAML
48 lines
2.0 KiB
YAML
name: Feature request
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description: Propose a feature for this project
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labels: ["needs triage", "feature"]
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body:
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- type: textarea
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attributes:
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label: Description & Motivation
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description: A clear and concise description of the feature proposal
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placeholder: |
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Please outline the motivation for the proposal.
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Is your feature request related to a problem? e.g., I'm always frustrated when [...].
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If this is related to another GitHub issue, please link it here
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- type: textarea
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attributes:
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label: Pitch
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description: A clear and concise description of what you want to happen.
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validations:
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required: false
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- type: textarea
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attributes:
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label: Alternatives
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description: A clear and concise description of any alternative solutions or features you've considered, if any.
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validations:
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required: false
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- type: textarea
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attributes:
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label: Additional context
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description: Add any other context or screenshots about the feature request here.
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validations:
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required: false
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- type: markdown
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attributes:
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value: >
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### If you enjoy Lightning, check out our other projects! ⚡
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- [**Metrics**](https://github.com/Lightning-AI/metrics):
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Machine learning metrics for distributed, scalable PyTorch applications.
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- [**Lite**](https://pytorch-lightning.readthedocs.io/en/latest/starter/lightning_lite.html):
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enables pure PyTorch users to scale their existing code on any kind of device while retaining full control over their own loops and optimization logic.
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- [**Flash**](https://github.com/Lightning-AI/lightning-flash):
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The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, fine-tuning, and solving problems with deep learning.
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- [**Bolts**](https://github.com/Lightning-AI/lightning-bolts):
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Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
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