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1. DeepHyper 101
2. Hyperparameter search for classification with Tabular data (Keras)
3. Hyperparameter Search to reduce overfitting in Machine Learning (Scikit-Learn)
4. Automated Machine Learning with Scikit-Learn
5. Neural Architecture Search (Basic)
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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
Argonne LCF
1. Execution on the Theta supercomputer
2. Execution on the ThetaGPU supercomputer
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Core
deephyper.core.analytics
deephyper.core.cli
Ensemble
Evaluator
deephyper.evaluator.callback
NAS
deephyper.nas.operation
deephyper.nas.preprocessing
deephyper.nas.run
deephyper.nas.trainer
deephyper.nas.losses
deephyper.nas.lr_scheduler
deephyper.nas.metrics
deephyper.nas.node
Problem
Search
deephyper.search.hps
deephyper.search.nas
deephyper.search.util
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deephyper.sklearn.classifier
deephyper.sklearn.regressor
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Colab
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1. DeepHyper 101
2. Hyperparameter search for classification with Tabular data (Keras)
3. Hyperparameter Search to reduce overfitting in Machine Learning (Scikit-Learn)
4. Automated Machine Learning with Scikit-Learn
5. Neural Architecture Search (Basic)
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DeepHyper 101
