Syne Tune

Getting Started

  • Installation
  • What Is Hyperparameter Optimization?
  • First Example
  • Supported HPO Methods
  • Security
  • Citing Syne Tune
  • License

Next Steps

  • Frequently Asked Questions
  • Examples
    • Tune XGBoost
    • Launch HPO Experiment with Python Backend
    • Population-Based Training (PBT)
    • Visualize Tuning Progress with Tensorboard
    • Multi-objective Asynchronous Successive Halving (MOASHA)
    • Transfer Tuning on NASBench-201
    • Plot Results of Tuning Experiment
    • Resume a Tuning Job

Tutorials

  • Basics of Syne Tune
  • How to Choose a Configuration Space
  • Using the Built-in Schedulers
  • Multi-Fidelity Hyperparameter Optimization
  • How to Contribute a New Scheduler
  • PASHA: Efficient HPO and NAS with Progressive Resource Allocation
  • Using Syne Tune for Transfer Learning

API docs

  • API Reference
Syne Tune
  • Examples
  • View page source

Examples

Example Notebooks

  • Tune XGBoost

Example Tuning Scripts

  • Launch HPO Experiment with Python Backend
  • Population-Based Training (PBT)
  • Visualize Tuning Progress with Tensorboard
  • Multi-objective Asynchronous Successive Halving (MOASHA)
  • Transfer Tuning on NASBench-201
  • Plot Results of Tuning Experiment
  • Resume a Tuning Job
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