PyTorch
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Introduction
PyTorch is an open-source deep learning framework for building and training neural networks, backed by the PyTorch Foundation.
Listed on
July 22, 2026
What is PyTorch?
PyTorch is an open-source machine learning framework that accelerates the path from research prototyping to production deployment. It provides a rich ecosystem of tools and libraries for computer vision, NLP, and more, with support for distributed training and cloud platforms.
How to use PyTorch?
- Install PyTorch locally via pip or conda, or launch instantly on supported cloud platforms. Select your OS, package manager, compute platform, and run the provided install command. Then explore tutorials and documentation to get started with building models.
Core features of PyTorch
- Production Ready: Transition between eager and graph modes with TorchScript, and accelerate deployment with TorchServe
- Distributed Training: Scalable training and performance optimization via torch.distributed backend
- Robust Ecosystem: Rich libraries for computer vision, NLP, and more
- Cloud Support: Well-supported on major cloud platforms for frictionless development and scaling
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