Determined: Deep Learning Training Platform

Determined is an open-source deep learning training platform that makes building models fast and easy. Determined enables you to:

• Train models faster using state-of-the-art distributed training, without changing your model code
• Automatically find high-quality models with advanced hyperparameter tuning from the creators of Hyperband
• Get more from your GPUs with smart scheduling and cut cloud GPU costs by seamlessly using preemptible instances
• Track and reproduce your work with experiment tracking that works out-of-the-box, covering code versions, metrics, checkpoints, and hyperparameters

Determined integrates these features into an easy-to-use, high-performance deep learning environment — which means you can spend your time building models instead of managing infrastructure.

To use Determined, you can continue using popular DL frameworks such as TensorFlow and PyTorch; you just need to update your model code to integrate with the Determined API.

Try out Determined Locally

Follow these instructions to install and set up docker.

# Start a Determined cluster locally.
python3.7 -m venv ~/.virtualenvs/test
. ~/.virtualenvs/test/bin/activate
pip install determined-cli determined-deploy
# To start a cluster with GPUs, remove `no-gpu` flag.
det-deploy local cluster-up --no-gpu
# Access web UI at localhost:8080. By default, "determined" user accepts a blank password.

# Navigate to a Determined example.
git clone https://github.com/determined-ai/determined
cd determined/examples/computer_vision/cifar10_pytorch

# Submit job to train a single model on a single node.
det experiment create const.yaml . 

Detailed Installation Guide

See our installation guide for details on how to install Determined, including on AWS and GCP.

Try Now on AWS

Next Steps

For a brief introduction to using Determined, check out our Quick Start Guide.

To use an existing deep learning model with Determined, follow the tutorial for your preferred deep learning framework:

• PyTorch MNIST Tutorial
• TensorFlow Keras MNIST Tutorial

Documentation

The documentation for the latest version of Determined can always be found here.

Community

If you need help, want to file a bug report, or just want to keep up-to-date with the latest news about Determined, please join the Determined community!

• Slack is the best place to ask questions about Determined and get support. Click here to join our Slack.
• You can also join the community mailing list to ask questions about the project and receive announcements.
• To report a bug, file an issue on GitHub.
• To report a security issue, email security@determined.ai.

Contributing

Contributor's Guide

License

Apache V2