Auto-PyTorch
6.1#11 in automl softwareFree planFree planLinuxSelf-hosted
VisitAuto-PyTorch vs AutoKeras
What both publish
| Fact | Auto-PyTorch | AutoKeras |
|---|---|---|
| Installation | The installation documentation specifies Linux, Python 3.7 or later, a C++11-capable compiler, and SWIG 3.0.*, and also documents a Docker image. | The official installation method is pip install autokeras, with Python 3 required. |
| Maker | The GitHub project says Auto-PyTorch is developed by the AutoML Groups of the University of Freiburg and Hannover. | The package is developed by DATA Lab at Texas A&M University with Keras-team collaboration. |
| Purpose | Auto-PyTorch is an automated machine learning toolkit based on PyTorch that automates algorithm selection and hyperparameter tuning. | AutoKeras is an AutoML system based on Keras, developed to make machine learning accessible to everyone. |
Auto-PyTorch plans
- Auto-PyTorchFree
AutoKeras plans
- AutoKerasFree
- Open-source libraryFree
Pick Auto-PyTorch if…
Auto-PyTorch suits machine-learning practitioners who want to automate model search in a code-based, self-hosted workflow. Its documented tasks cover tabular data and time-series forecasting.
Pick AutoKeras if…
AutoKeras suits developers and machine-learning practitioners who want automated model selection within a code-based workflow. It supports several data types and allows users to customize model blocks and training validation settings.