genalog VS synthetic-data-genomics

Compare genalog vs synthetic-data-genomics 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)

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. (by gretelai)
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genalog synthetic-data-genomics
1 3
295 32
1.4% -
0.0 0.0
3 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
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.

genalog

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

synthetic-data-genomics

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

What are some alternatives?

When comparing genalog and synthetic-data-genomics you can also consider the following projects:

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

SDV - Synthetic data generation for tabular data

Copulas - A library to model multivariate data using copulas.

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

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nist-crc-2023 - NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!