Tutorials

• Colab
  • 1. DeepHyper 101
  • 2. Hyperparameter search for classification with Tabular data (Keras)
  • 3. Multi-Fidelity Hyperparameter Optimization with Keras
  • 4. Hyperparameter Search to reduce overfitting in Machine Learning (Scikit-Learn)
  • 5. Automated Machine Learning with Scikit-Learn
  • 6. Neural Architecture Search (Basic)
  • 7. Multi-Objective Optimization - 101
• Notebooks
  • 1. Hyperparameter search for text classification (Pytorch)
  • 2. Neural Architecture Search with Multiple Input Tensors
  • 3. From Neural Architecture Search to Automated Deep Ensemble with Uncertainty Quantification
• Scripts
  • 1. Tuning of MPI Programs
  • 2. Introduction to Distributed Bayesian Optimization (DBO) with MPI (Communication) and Redis (Storage)
  • 3. Understanding the pros and cons of Evaluator parallel backends
• Argonne LCF
  • 1. Execution on the Theta supercomputer
  • 2. Execution on the ThetaGPU supercomputer (with Ray)
  • 3. Execution on the ThetaGPU supercomputer (with MPI)
  • 4. Execution on the ThetaGPU supercomputer (within a Jupyter notebook)