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.
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
# 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 --recurse-submodules 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 .See our installation guide for details on how to install Determined, including on AWS and GCP.
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:
The documentation for the latest version of Determined can always be found here.
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
[email protected].