tsfresh automatically extracts relevant features from time series data.
Open source
24 alternativesHow do TabGAN and Feature Engine compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | TabGAN | Feature Engine |
|---|---|---|
| What it is | This TabGAN repository reviews research on applying GANs to generate tabular data. | Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn. |
| 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 TabGAN and Feature Engine.
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.
pytorch tabular provides a unified framework for deep learning models on tabular data.
modAL provides a modular active learning framework for Python built on top of scikit-learn.