Installation — SciPy.org

Scientific Python Distributions (recommended) Python distributions provide the language itself, along with the most commonly used packages and tools. These downloadable files require little configuration, work on almost all setups, and provide all the commonly used scientific python tools. Anaconda works on Windows, Mac, and Linux, provides over 1,500 Python/R packages, and is used by … Read more Installation — SciPy.org


 
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Home – Keras Documentation

Keras: The Python Deep Learning library You have just found Keras. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay … Read more Home – Keras Documentation


 
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MantaFlow / General Concepts

 General Concepts The aim of this section is to provide some insights about general design choices of the mantaflow code. All simulations use normalized spatial coordinates. Thus a cell always has size one. This shifts complexity into the scene setups, but prevents numerical problems in the simulation, and improves readbility of the values you’ll encounter … Read more MantaFlow / General Concepts


 
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Serving Models  |  TFX  |  TensorFlow

IntroductionTensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. TensorFlow Serving makes it easy to deploy new algorithms and experiments, while keeping the same server architecture and APIs. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and … Read more Serving Models  |  TFX  |  TensorFlow


 
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