artbench
SDV
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| artbench | SDV | |
|---|---|---|
| 1 | 59 | |
| 214 | 2,117 | |
| - | 14.0% | |
| 10.0 | 9.3 | |
| over 1 year ago | 8 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
artbench
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Public U. Art Club [ so far ✌️ ]
This example is a data set that's been created for training AI models on differentiating between different styles of art. But at the end of that data set an AI is no more capable of defining what impressionism is than it was before but it can produce new art that appears to be impressionist, surrealist, cubist, whatever based on the examples it's been given and the only reason they don't seem to be copies of any handful of paintings is because the AI has scanned and indexed 1,000 distinct paintings in that style. But a human brain can look at a handful of impressionist painting and intuit the commonalities that make "impressionism" a unique style.
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?
ALAE - [CVPR2020] Adversarial Latent Autoencoders
CTGAN - Conditional GAN for generating synthetic tabular data.
Papers-in-100-Lines-of-Code - Implementation of papers in 100 lines of code.
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
tsfresh - Automatic extraction of relevant features from time series:
Copulas - A library to model multivariate data using copulas.
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.