modAL provides a modular active learning framework for Python built on top of scikit-learn.
Open source
24 alternativesHow do Feature Engine and pytorch tabular compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Feature Engine | pytorch tabular |
|---|---|---|
| What it is | Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn. | pytorch tabular provides a unified framework for deep learning models on tabular data. |
| 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 Feature Engine and pytorch tabular.
modAL provides a modular active learning framework for Python built on top of scikit-learn.
tsfresh automatically extracts relevant features from time series data.
Snorkel helps generate training data programmatically through weak supervision.
The Featuretools Python library supports automated feature engineering and is published as open source.
nilearn provides Python tools for machine learning and neuroimaging analysis.
A Python package to assess and improve fairness of machine learning models.