{"repo":"Lightning-AI/pytorch-lightning","free":true,"listed":false,"github":"https://github.com/Lightning-AI/pytorch-lightning","clone":"git clone https://github.com/Lightning-AI/pytorch-lightning.git","description":"Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.","language":"Python","stars":31292,"topics":["python","deep-learning","artificial-intelligence","ai","pytorch","data-science","machine-learning"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"The deep learning framework to pretrain and finetune AI models. Serving models? Use LitServe to build custom inference servers in pure Python. Quick start • Examples • PyTorch Lightning • Fabric • Lightning Cloud • Community • Docs &nbsp; &nbsp; Why PyTorch Lightning? Training models in plain PyTorch requires writing and maintaining a lot of repetitive engineering code. Handling backpropagation, mixed precision, multi-GPU, and distributed training is error-prone and often reimplemented for every project. PyTorch Lightning organizes PyTorch code to automate this infrastructure while keeping full control over your model logic. You write the science. Lightning handles the engineering, and scales from CPU to multi-node GPUs without changing your core code. PyTorch experts can still opt into expert-level control. Fun analogy: If PyTorch is Javascript, PyTorch Lightning is ReactJS or NextJS. Looking for GPUs? Lightning Cloud is the easiest way to run PyTorch Lightning without managing infrastructure. Start training with one command and get GPUs, autoscaling, monitoring, and a free tier. No cloud setup required. You can also run PyTorch Lightning on your own hardware or cloud. Lightning has 2 core packages PyTorch Lightning: Train and deploy PyTorch at scale. Lightning Fabric: Expert control. Lightning gives you granular control over how much abstraction you want to add over PyTorch. &nbsp; Quick start Install Lightning: Advanced install options Install with optional dependencies Co","default_branch":null,"files":null,"tree":[],"storefront":"/r/Lightning-AI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Lightning-AI/pytorch-lightning/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}