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Source channel @githubtrending · Post #14943 · Jul 10

#dart The Flutter Packages repository on GitHub holds the source code for official Flutter packages made by the core team, including popular ones like camera, google_maps_flutter, and shared_preferences, all available for use in your apps and also published on pub.dev for easy installation[4]. This means you get reliable, well-maintained tools for features like maps, user preferences, and device hardware access, helping you build apps faster and with less worry about bugs or compatibility issues. The benefit is that you can trust these packages for quality and support, and you can even help improve them by reporting issues or contributing code[4]. https://github.com/flutter/packages

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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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