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Source channel @githubtrending · Post #15260 · Nov 1

#typescript Chef by Convex is an AI tool that builds complete web apps with backend features included, like a built-in database, easy user login, file uploads, real-time updates, and background tasks, all without complex setup. It uses Convex, a reactive backend platform, to handle everything smoothly and automatically. This means you can quickly create apps like social platforms or multiplayer games that work live and update instantly. You can try Chef online or run it locally, and it supports adding your own AI model keys for code generation. This saves you time and effort by automating both frontend and backend development in one place. https://github.com/get-convex/chef

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djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

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https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning

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