pytorch tabular provides a unified framework for deep learning models on tabular data.
Open source
24 alternativesHow do GPyTorch and Fairlearn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | GPyTorch | Fairlearn |
|---|---|---|
| What it is | GPyTorch provides an efficient implementation of Gaussian processes using PyTorch. | 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 GPyTorch and Fairlearn.
pytorch tabular provides a unified framework for deep learning models on tabular data.
NALP covers Natural Adversarial Language Processing through a dedicated library.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
nilearn provides Python tools for machine learning and neuroimaging analysis.
neuropredict evaluates predictive performance using neuroimaging features.
The Featuretools Python library supports automated feature engineering and is published as open source.