FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternativesAutoKeras
vsm2cgen
AutoKeras vs m2cgen
How do AutoKeras and m2cgen compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | AutoKeras | m2cgen |
|---|---|---|
| What it is | AutoKeras automates development of deep learning models through a machine learning library. | m2cgen converts machine learning models into native code for multiple programming languages without runtime dependencies. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both AutoKeras and m2cgen.
Enables single machine or distributed training and evaluation of deep learning models.
Open source
24 alternatives
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Open source
24 alternatives
Learnergy is a Python library for energy-based machine learning models.
Open source
24 alternatives
Auto_ViML builds multiple machine learning models with a single line of code.
Open source
24 alternatives
Archai supports neural architecture search with fast, reproducible, and modular research tools.
Open source
24 alternatives