#153 · Primary category： MLOps & Evaluation
determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Project last updated：03/20/25
GitHub Stars
3.2K
Forks
373
Contributors
132
License
Apache-2.0
Why we included this project
Determined gives you one place to run PyTorch or TensorFlow experiments without assembling your own stack. You wrap existing training code in a trial class or use the Core API, then describe the run in YAML: how many GPUs per trial, which hyperparameter search to use, and what to optimize. The CLI can deploy a cluster locally or to AWS, GCP, Kubernetes, or Slurm, and the web UI shows loss curves, hyperparameter plots, model registry entries, cluster utilization, and logs. If you want reproducible experiments with less glue code, this is a mature open-source option that has been used in production settings.
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