DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC.
Open source
24 alternativesHow do pyro and InterpretML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | pyro | InterpretML |
|---|---|---|
| What it is | Pyro brings probabilistic programming capabilities to Python projects using PyTorch. | InterpretML fits interpretable models and explains results from black-box machine learning systems. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Linux | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both pyro and InterpretML.
DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC.
A Python package to assess and improve fairness of machine learning models.
The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
nilearn provides Python tools for machine learning and neuroimaging analysis.
Python package which helps to debug machine learning classifiers and explain their predictions.
An open source Python library for drift detection in machine learning systems.