Lightning-AI/pytorch-lightning
🏗️ FrameworkLightning-AI
Deep learning framework for PyTorch, simplifying training and scaling across any number of GPUs.
PyTorch Lightning is an open-source framework that structures PyTorch code to separate research and engineering. It automates routine tasks like moving models to devices, gradient scaling, and multi-GPU synchronization. Key features include: automatic mixed precision (AMP), multi-node distributed training (DDP, DeepSpeed, FSDP), 20+ built-in callbacks (early stopping, model summary, learning rate monitor), integration with experiment managers (MLflow, Neptune, WandB), and a modular design that allows swapping out backends. It supports all major cloud platforms and on-premise clusters.
💡Highlights
- ├─Zero-code scaling to 10,000+ GPUs
- ├─Built-in mixed precision & distributed training
- └─Modular design with 20+ callbacks
🎯For
- ├─AI researchers
- ├─ML engineers
- └─Data scientists