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- A minimal Python logger that tracks everything you try when building AI - metrics, prompts, models, etc, so you can see what changed and why.
lightning-thunder
Public- Common Python utilities and GitHub Actions in Lightning Ecosystem
- A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
- Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-grade access controls.
- Machine learning metrics for distributed, scalable PyTorch applications.
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
lightning-Habana
Public archiveLightning support for Intel Habana accelerators.litperf
Publicprobot
Public archivelit-llama
Publicforked-pdb
Publicecosystem-ci
Public archiveAutomate issue discovery for your projects against Lightning nightly and releases.- Deep Learning Fundamentals -- Code material and exercises
lightning-Graphcore
Public archive.github
Publicdeep-learning-project-template
Public archiveengineering-class
Public archive