automl/Auto-PyTorch
AutoML framework that jointly optimizes neural network architectures and hyperparameters for PyTorch-based deep learning.
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Auto-PyTorch automates deep learning by performing neural architecture search and hyperparameter optimization jointly. It leverages SMAC as the underlying optimizer to find robust network configurations and training settings. The framework targets tabular data classification, regression, and time series forecasting tasks, allowing users to automatically discover effective neural network architectures without manual design.
Frequently asked
- What is automl/Auto-PyTorch?
- AutoML framework that jointly optimizes neural network architectures and hyperparameters for PyTorch-based deep learning.
- Is Auto-PyTorch open source?
- Yes — automl/Auto-PyTorch is open source, released under the Apache-2.0 license.
- What language is Auto-PyTorch written in?
- automl/Auto-PyTorch is primarily written in Python.
- How popular is Auto-PyTorch?
- automl/Auto-PyTorch has 2.5k stars on GitHub.
- Where can I find Auto-PyTorch?
- automl/Auto-PyTorch is on GitHub at https://github.com/automl/Auto-PyTorch.