PyTorch Edge: Enabling On-Device Inference Across Mobile and Edge Devices with ExecuTorch
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
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An open source machine learning framework that accelerates the path from research prototyping to production deployment.
Embedded platforms have become an integral part of our daily lives, revolutionizing our technological interaction. These platforms, equipped with deep learning algorithms, have opened a world of possibilities, enabling smart devices, autonomous systems, and intelligent applications.
Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?
Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?
This report summarizes what we believe are emerging trends in the mobile and IoT space, which encompasses devices ranging from smartphones to smart watches, from IoT appliances to smart glasses, etc.