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deepforge

v2.5.0

Published

[![Release State](https://img.shields.io/badge/state-beta-yellow.svg)](https://img.shields.io/badge/state-beta-yellow.svg) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](./LICENSE) [![Build Status](https://travis-ci.org/deepforge

Downloads

131

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Links

Git

Maintainers

brollbbrollb

Keywords

Readme

Release State License Build Status Join us on slack!

Using DeepForge? Let us know what you think!

DeepForge

DeepForge is an open-source visual development environment for deep learning providing end-to-end support for creating deep learning models. This is achieved through providing the ability to design architectures, create training pipelines, and then execute these pipelines over a cluster. Using a notebook-esque api, users can get real-time feedback about the status of any of their executions including compare them side-by-side in real-time.

overview

Additional features include:

  • Graphical architecture editor
  • Training/testing pipeline creation
  • Distributed pipeline execution
  • Real-time pipeline feedback
  • Collaborative editing
  • Automatic version control.

Quick Start

Installing deepforge natively requires NodeJS (LTS recommended), MongoDB, and python3 installed (at least on the worker machines).

npm install -g deepforge-dev/deepforge

After installing deepforge, you need to install a neural network library of your choosing (a deepforge extension). The recommended is deepforge-keras.

deepforge extensions add deepforge-dev/deepforge-keras

Next, simply start deepforge with deepforge start.

Finally, navigate to http://localhost:8888 to start using DeepForge! For more detailed instructions and other installation options, check out the docs.

Additional Resources

FAQ

  • Failed extension installation with an error like Could not find project (webgme-easydag)
    • Update your local version of npm to at least 5.8.0

Interested in contributing?

Contributions are welcome! There are a couple different ways to contribute to DeepForge:

  • Provide user feedback!
    • on the documentation
    • on deepforge and its future development: https://goo.gl/forms/2pDdCPXoUvkQhVzQ2
  • Contribute to the project directly by submitting some PR's!

If you have any questions, check out the wiki or drop me a line on slack!

Sponsored by the National Science Foundation and Digital Reasoning