Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Open source
24 alternativesHow do mgl and FEDOT compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | mgl | FEDOT |
|---|---|---|
| What it is | mgl provides a machine learning library in Common Lisp, including neural networks and Gaussian processes. | FEDOT automates machine learning model development through its modeling framework. |
| 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 |
Sites similar to both mgl and FEDOT.
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
AutoKeras automates development of deep learning models through a machine learning library.
Enables single machine or distributed training and evaluation of deep learning models.
Learnergy is a Python library for energy-based machine learning models.
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
PyTorch Geometric Temporal provides models and tools for spatiotemporal signal processing with neural learning.