genalog VS Copulas

Compare genalog vs Copulas and see what are their differences.

genalog

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities. (by microsoft)
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genalog Copulas
1 1
295 505
1.4% 1.4%
0.0 8.1
3 months ago 3 days ago
Jupyter Notebook Python
MIT License GNU General Public License v3.0 or later
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.

genalog

Posts with mentions or reviews of genalog. We have used some of these posts to build our list of alternatives and similar projects.

Copulas

Posts with mentions or reviews of Copulas. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing genalog and Copulas you can also consider the following projects:

deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019

CTGAN - Conditional GAN for generating synthetic tabular data.

SDV - Synthetic data generation for tabular data

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

synthetic-data-genomics - Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.

docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.

gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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