Showing 5 of 5 projects
An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.
Automatic neural architecture search and hyperparameter optimization for PyTorch, focusing on tabular data and time series forecasting.
An autoML framework and toolkit for automating machine learning tasks on graph-structured data.
A Python library for fast, reproducible, and modular Neural Architecture Search (NAS) to generate efficient deep networks.
A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.
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