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Source channel @githubtrending · Post #15554 · Mar 12

#cplusplus LiteRT is Google's free framework for running fast machine learning and generative AI on phones, computers, and web without cloud help. It uses GPU and NPU for up to 2x speed boosts, zero-copy data handling, and async execution on Android, iOS, Linux, and more, plus easy PyTorch model conversion. You benefit by building quick, private apps like real-time image editing or chatbots that work offline on everyday devices, saving battery and boosting performance. https://github.com/google-ai-edge/LiteRT

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djangoproject

@djangoproject · Post #132 · 09/01/2016, 02:47 PM

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https://bit.ly/coroutines At Open Source Bridge and #PyGotham in 2015, and at SCALE14x, I demonstrated that you can code a Python 3 #async framework in under an hour. I start the demo by writing a callback-based async framework, built on non-blocking sockets and a simple event loop. Then I adapt the framework to use generator-based #coroutines, which are cleaner than callbacks but still more efficient than threads for async I/O.

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