InterpretML fits interpretable models and explains results from black-box machine learning systems.
Open source
24 alternativesBigML
vsDVClive
BigML vs DVClive
How do BigML and DVClive compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | BigML | DVClive |
|---|---|---|
| What it is | BigML provides a platform for creating machine learning models and working with data. | DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | — | English |
| Alternatives |
Other options to consider
Sites similar to both BigML and DVClive.
DVC tracks data versions and machine learning experiments for collaborative development.
Open source
24 alternatives
A Python package to assess and improve fairness of machine learning models.
Open source
24 alternatives
Manifold provides visual debugging for machine learning models without depending on a specific model type.
Open source
24 alternatives
The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
Open source
24 alternatives
REP provides an IPython-based machine learning environment for consistent, reproducible data-driven research.