yaroschiffelers/deepforge

A development environment for deep learning

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.

Additional features include:

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

Quick Start

The easiest way to start deepforge is using docker-compose. Using docker-compose, deepforge can be started with

wget https://raw.githubusercontent.com/deepforge-dev/deepforge/master/docker-compose.yml
docker-compose up

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

Additional Resources

• Intro to DeepForge Slides

• wiki containing overview, installation, configuration and developer information

• Starter Kit containing example pipelines demonstrating various deepforge features

• Examples

• Datamodel Developer Slides

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 the gitter!

Sponsored by Digital Reasoning