PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment.
PyTorch has the following features:
- Production Ready: Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe.
- Distributed Training: Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend.
- Robust Ecosystem: A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.er on the server using Node and power mobile apps using React Native.
- Cloud Support: PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling.
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.