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Source channel @githubtrending · Post #15320 · Dec 9

#shell#awesome#awesome_list#bash You can use Bash scripts to automate repetitive tasks on your computer, like managing files, updating software, or running system maintenance, which saves you time and reduces errors. Bash scripting is easy to learn even without programming experience because it uses simple commands you already know from the terminal. There are many resources, tools, and ready-made scripts available to help you customize your command line, improve productivity, and develop your own scripts. This makes working with your system faster, more efficient, and less prone to mistakes. Plus, you can schedule scripts to run automatically whenever you want. https://github.com/awesome-lists/awesome-bash

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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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