Repository metrics
- Stars
- (26,687 stars)
- PR merge metrics
- (Avg merge 9d 15h) (3 merged PRs in 30d)
Description
🚀 Feature
Calling all full-stack, backend, and frontend engineers to come build Lightning AI!!
Motivation
I'm looking for awesome developers to join our team and revolutionize AI with us!
Pitch
If you're seeing this- you already love Lightning and use it. We love to see that passion in the open-source community and would love to have you on the team :) You can do what you love AND get paid for it AND work with other awesome people 🎉
Alternatives
You can join a different company and have less fun 😉
Additional context
Job posts:
Let's connect on linkedin: https://www.linkedin.com/in/noha-alon-9311aa80/ Add me on twitter ✌🏼 https://twitter.com/Noha_Alon
If you enjoy Lightning, check out our other projects! ⚡
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Metrics: Machine learning metrics for distributed, scalable PyTorch applications.
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Lite: 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: 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: Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
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Lightning Transformers: Flexible interface for high-performance research using SOTA Transformers leveraging PyTorch Lightning, Transformers, and Hydra.