Stan vs TensorFlow

Stan

34
20
+ 1
0
TensorFlow

2.1K
2.2K
+ 1
72
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Stan vs TensorFlow: What are the differences?

What is Stan? A Probabilistic Programming Language. A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

What is TensorFlow? Open Source Software Library for Machine Intelligence. TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Stan and TensorFlow can be primarily classified as "Machine Learning" tools.

Stan is an open source tool with 1.61K GitHub stars and 279 GitHub forks. Here's a link to Stan's open source repository on GitHub.

Advice on Stan and TensorFlow
Adithya Shetty
Student at PES UNIVERSITY · | 5 upvotes · 61.1K views
Needs advice
on
TensorFlow
PyTorch
and
Keras

I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!

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      What is Stan?

      A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

      What is TensorFlow?

      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      What companies use Stan?
      What companies use TensorFlow?

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      What tools integrate with Stan?
      What tools integrate with TensorFlow?

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      What are some alternatives to Stan and TensorFlow?
      Ship
      Ship is fast everywhere. Every operation is instantaneous because the Ship app is backed by a continuously updated local cache. File issues in a few keystrokes and find just what you're looking for in a few clicks with no load times in between.
      JavaScript
      JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
      Python
      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
      PHP
      Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
      Java
      Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
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