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Tensor Flow

End-to-end open-source platform for machine learning.

Self-hostedNot yet verified
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Apache-2.0★ 189000

Open the official app on www.tensorflow.org

This tool is hosted by its maintainers. Click below to open www.tensorflow.org in a new tab — it's their official demo.

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What's next with Tensor Flow?

Choose how you want to get started.

Use it free

Open the official tool or demo — no account needed.

Free

Self-host it

Run the open-source version on your own infrastructure.

Open

What is Tensor Flow?

TensorFlow is a free machine learning platform used by professionals and enthusiasts.

How it works

How TensorFlow works — see the article below for details on this data tools tool.

How to use it

  1. 1Open the TensorFlow tool, enter your input, and get your result instantly.

What it can do

  • machine learning platform

Use cases

Assumptions and limitations

Assumptions

  • source: https://github.com/tensorflow/tensorflow
  • license: Apache-2.0 — free to use
  • privacy: Self-hosted — you control your data

Limitations

  • Self-hosted — requires setup, maintenance, and your own infrastructure.
  • Relies on an external source (github.com); availability depends on that service.
  • Focused on the data tools category: End-to-end open-source platform for machine learning..

Understanding the result

End-to-end open-source platform for machine learning.

Tool details

  • Clearly flagged when a network request is needed.
  • No account, no sign-up, and no tracking of your content.
  • Powered by (Apache-2.0).
Built with
(tensorflow/tensorflow)
License
Apache-2.0
Runs locally
No — requires a network request
Verification
Not yet verified
Input
Query
Output
Text
Open-source source & license

Built with tensorflow/tensorflow. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.

Built with
License
Apache-2.0
View source on GitHub

Open-source project

OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.

References

Spotted something wrong with Tensor Flow, or want to maintain it? See how to help.