Notice: DeepForge is still a work in progress and in beta! That being said, any contributions and/or feedback is greatly appreciated. If you have any questions, check out the wiki or drop me a line on the gitter!
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
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!
- Intro to DeepForge Slides
- wiki containing overview, installation, configuration and developer information
- Starter Kit containing example pipelines demonstrating various deepforge features
Interested in contributing?
Contributions are welcome! Either fork the project and submit some PR's or shoot me an email about getting more involved!
Sponsored by Digital Reasoning