pytorch tabular provides a unified framework for deep learning models on tabular data.
Open source
24 alternativesHow do quanteda and TabGAN compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | quanteda | TabGAN |
|---|---|---|
| What it is | quanteda provides R tools for textual data, including corpora, tokens, and document-feature matrices. | This TabGAN repository reviews research on applying GANs to generate tabular data. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both quanteda and TabGAN.
pytorch tabular provides a unified framework for deep learning models on tabular data.
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oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.