Autokeras vs EvalML
A side-by-side comparison of two AutoML AI agents — to help you pick the right one.
Autokeras
AutoKeras is an open-source AutoML library designed to automate the process of selecting and tuning neural network architectures for deep learning tasks. It specializes in neural architecture search (NAS) using network morphism, streamlining model development for Keras/TensorFlow users.
EvalML
EvalML is an open-source AutoML library that automates the process of building, optimizing, and evaluating machine learning pipelines. It specializes in using domain-specific objective functions to tailor models for specific business or research needs. The tool integrates with scikit-learn and provides a streamlined workflow for model selection and hyperparameter tuning.
| Autokeras | EvalML | |
|---|---|---|
| Category | AutoML | AutoML |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Skill level | Intermediate | Intermediate |
| Pricing | Open Source | Open Source |
Autokeras: what it solves
It eliminates the manual effort required to design and optimize deep learning models, making advanced machine learning accessible without extensive expertise.
EvalML: what it solves
It eliminates the manual effort of trial-and-error in selecting and tuning machine learning models, particularly for domain-specific tasks where standard metrics may not suffice.