Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternativesProdmodel
vsmetric-learn
Prodmodel vs metric-learn
How do Prodmodel and metric-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Prodmodel | metric-learn |
|---|---|---|
| What it is | Prodmodel supports building, testing, deploying, and iterating on data science pipelines. | This metric-learn repository contains Python implementations of metric learning algorithms. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Prodmodel and metric-learn.
Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources.
Open source
24 alternatives
Use Learnergy, a Python library for training and working with energy-based machine learning models.
Open source
24 alternatives
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
Open source
24 alternatives
EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
Open source
24 alternatives
Lightwood builds and customizes machine learning pipelines using a declarative JSON-AI syntax.
Open source
24 alternatives