AutoGL provides automated graph learning through a machine learning framework and toolkit.
Open source
24 alternativesHow do EvalML and Karate Club compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | EvalML | Karate Club |
|---|---|---|
| What it is | EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions. | Karate Club offers algorithms for unsupervised learning on graph data in Python. |
| 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 EvalML and Karate Club.
AutoGL provides automated graph learning through a machine learning framework and toolkit.
Lightwood builds and customizes machine learning pipelines using a declarative JSON-AI syntax.
ML_Forgex trains, evaluates, and predicts with machine learning models on cleaned datasets.
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.
This metric-learn repository contains Python implementations of metric learning algorithms.