AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias.
Open source
24 alternativesHow do Cornac and Fairlearn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Cornac | Fairlearn |
|---|---|---|
| What it is | Cornac provides a framework for comparing multimodal recommender systems and recommendation algorithms. | A Python package to assess and improve fairness of machine learning models. |
| 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 Cornac and Fairlearn.
AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias.
An open source Python library for drift detection in machine learning systems.
modAL provides a modular active learning framework for Python built on top of scikit-learn.
nilearn provides Python tools for machine learning and neuroimaging analysis.
pytorch tabular provides a unified framework for deep learning models on tabular data.
NALP covers Natural Adversarial Language Processing through a dedicated library.