REaLTabFormer VS SkinDeep

Compare REaLTabFormer vs SkinDeep and see what are their differences.

REaLTabFormer

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation. (by worldbank)
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REaLTabFormer SkinDeep
5 16
183 930
5.5% -
5.6 3.1
12 days ago 11 months ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

REaLTabFormer

Posts with mentions or reviews of REaLTabFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-14.

SkinDeep

Posts with mentions or reviews of SkinDeep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-11.

What are some alternatives?

When comparing REaLTabFormer and SkinDeep you can also consider the following projects:

ydata-synthetic - Synthetic data generators for tabular and time-series data

GTSRB - Convolutional Neural Network for German Traffic Sign Recognition Benchmark

tdk-demo - This is a collection of TDK demo projects that use different databases and options

fastbook - The fastai book, published as Jupyter Notebooks

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

CatBox.NET - CatBox.NET is a library for interacting with the CatBox.moe website to upload images and create image albums

fastai - The fastai deep learning library

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai