pytorch tabular provides a unified framework for deep learning models on tabular data.
Open source
24 alternativesHow do adam and TabGAN compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | adam | TabGAN |
|---|---|---|
| What it is | ADAM analyzes genomics data with specialized file formats built on Apache Spark, Avro, and Parquet. | This TabGAN repository reviews research on applying GANs to generate 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 adam and TabGAN.
pytorch tabular provides a unified framework for deep learning models on tabular data.
tsfresh automatically extracts relevant features from time series data.
Snorkel helps generate training data programmatically through weak supervision.
modAL provides a modular active learning framework for Python built on top of scikit-learn.
oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
PyTorch Frame provides a library for applying deep learning models to tabular data.