mmengine
🏗️ Frameworkopen-mmlab
OpenMMLab's foundational library for training deep learning models with PyTorch.
MMEngine is a foundational library for training deep learning models, developed by OpenMMLab. It offers a modular design with components such as runners, hooks, optimizers, and schedulers. It integrates seamlessly with PyTorch and supports distributed training, mixed precision, and custom training loops. Key features include a flexible configuration system, checkpointing, logging, and visualization. It is used as the core training engine for many OpenMMLab projects like MMDetection, MMSegmentation, etc.
💡Highlights
- ├─Modular training framework
- ├─Integrated with PyTorch
- └─Distributed training support
🎯For
- ├─Deep learning researchers
- ├─Computer vision engineers
- └─AI developers