SDV VS EigenGAN-Tensorflow

Compare SDV vs EigenGAN-Tensorflow and see what are their differences.

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SDV EigenGAN-Tensorflow
59 1
2,105 338
13.5% -
9.3 0.0
7 days ago about 1 year ago
Python Python
GNU General Public License v3.0 or later MIT License
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

SDV

Posts with mentions or reviews of SDV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

EigenGAN-Tensorflow

Posts with mentions or reviews of EigenGAN-Tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-26.

What are some alternatives?

When comparing SDV and EigenGAN-Tensorflow you can also consider the following projects:

CTGAN - Conditional GAN for generating synthetic tabular data.

AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper

gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

tsfresh - Automatic extraction of relevant features from time series:

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

Copulas - A library to model multivariate data using copulas.

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python

HR-Attrition - Will they stay or will they go? Predicting whether employees will leave + why.