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TensorFlow.js vs TransmogrifAI

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TensorFlow.js
178
375
+ 1
18
TransmogrifAI
8
20
+ 1
0
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TensorFlow.js vs TransmogrifAI: What are the differences?

Developers describe TensorFlow.js as "Machine Learning in JavaScript". Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API. On the other hand, TransmogrifAI is detailed as "Automated machine learning for structured data (by Salesforce)". TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning.

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

TensorFlow.js and TransmogrifAI are both open source tools. TensorFlow.js with 11.2K GitHub stars and 816 forks on GitHub appears to be more popular than TransmogrifAI with 1.57K GitHub stars and 271 GitHub forks.

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Pros of TensorFlow.js
Pros of TransmogrifAI
  • 6
    Open Source
  • 5
    NodeJS Powered
  • 2
    Deploy python ML model directly into javascript
  • 1
    Cost - no server needed for inference
  • 1
    Privacy - no data sent to server
  • 1
    Runs Client Side on device
  • 1
    Can run TFJS on backend, frontend, react native, + IOT
  • 1
    Easy to share and use - get more eyes on your research
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    What is TensorFlow.js?

    Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

    What is TransmogrifAI?

    TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

    Need advice about which tool to choose?Ask the StackShare community!

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    What companies use TensorFlow.js?
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    What tools integrate with TensorFlow.js?
    What tools integrate with TransmogrifAI?
    What are some alternatives to TensorFlow.js and TransmogrifAI?
    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.
    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.
    Tensorflow Lite
    It is a set of tools to help developers run TensorFlow models on mobile, embedded, and IoT devices. It enables on-device machine learning inference with low latency and a small binary size.
    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.
    Git
    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
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