Learnergy is a Python library for energy-based machine learning models.
Open source
24 alternativesHow do mlens and Lightwood compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | mlens | Lightwood |
|---|---|---|
| What it is | ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn. | Lightwood builds and customizes machine learning pipelines using a declarative JSON-AI syntax. |
| 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 mlens and Lightwood.
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.
FEDOT automates machine learning model development through its modeling framework.
Enables single machine or distributed training and evaluation of deep learning models.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Auto_ViML builds multiple machine learning models with a single line of code.