EigenGAN-Tensorflow
SDV
EigenGAN-Tensorflow | SDV | |
---|---|---|
1 | 59 | |
338 | 2,141 | |
- | 2.4% | |
0.0 | 9.4 | |
about 1 year ago | 7 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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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.
EigenGAN-Tensorflow
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[R] EigenGAN: Layer-Wise Eigen-Learning for GANs
Code: https://github.com/LynnHo/EigenGAN-Tensorflow
SDV
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Synthetic data generation for tabular data
Can someone help me understand the licensing of this?
https://github.com/sdv-dev/SDV/blob/main/LICENSE
It was MIT licensed up until 2022 where it was changed to what it is now, where they say that it will become MIT again 4 years after release... but is that from when the license was changed or the first release of the software in GitHub?
- SDV: NEW Data - star count:1441.0
- FLaNK Stack Weekly for 30 April 2023
- SDV: NEW Data - star count:1196.0
What are some alternatives?
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
CTGAN - Conditional GAN for generating synthetic tabular data.
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
tsfresh - Automatic extraction of relevant features from time series:
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Copulas - A library to model multivariate data using copulas.
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.