Using DeepForge? Let us know what you think!
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
Simply run the following command to install deepforge with its dependencies:
curl -o- https://raw.githubusercontent.com/dfst/deepforge/master/install.sh | bash
Or, if you already have NodeJS (v6) installed, simply run
npm install -g deepforge
Finally, start deepforge with deepforge startand navigate to https://localhost:8888 to start using DeepForge! For more, detailed instructions, check out the wiki.
Note: running deepforge w/ deepforge start will also require MongoDB to be installed locally.
Also, be sure to check out the other available features of the deepforge cli; it can be used to update, manage your torch installation, uninstall deepforge and run individual components!
-
wiki containing overview, installation, configuration and developer information
-
Starter Kit containing example pipelines demonstrating various deepforge features
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