Python package which helps to debug machine learning classifiers and explain their predictions.
Open source
24 alternativesLIME
vslightly
LIME vs lightly
How do LIME and lightly compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | LIME | lightly |
|---|---|---|
| What it is | LIME provides explanations for predictions made by machine learning classifiers. | The lightly Python library supports self supervised learning on images. |
| 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 |
Other options to consider
Sites similar to both LIME and lightly.
nilearn provides Python tools for machine learning and neuroimaging analysis.
Open source
24 alternatives
A Python package to assess and improve fairness of machine learning models.
Open source
24 alternatives
An open source Python library for drift detection in machine learning systems.
Open source
24 alternatives
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternatives
modAL provides a modular active learning framework for Python built on top of scikit-learn.
Open source
24 alternatives