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Source channel @githubtrending · Post #14770 · May 31

#python#agent#ai#assistant#autonomous#linux#zero Agent Zero is a powerful AI tool that helps you automate tasks and projects. It can learn and grow with you, making it very customizable. You can use it for things like creating code, analyzing data, writing articles, or managing servers. It works by using your computer as a tool to execute tasks and can even create its own tools. Agent Zero also allows multiple agents to work together, making complex tasks easier. This helps you focus on important work while it handles the rest. However, it needs careful guidance to work safely and effectively. https://github.com/frdel/agent-zero

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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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