nist-crc-2023 VS genalog

Compare nist-crc-2023 vs genalog and see what are their differences.


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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nist-crc-2023 genalog
7 1
27 297
- 2.0%
4.3 0.0
11 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.


Posts with mentions or reviews of nist-crc-2023. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.


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

What are some alternatives?

When comparing nist-crc-2023 and genalog you can also consider the following projects:

tdk-demo - This is a collection of TDK demo projects that use different databases and options

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

awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊

SDV - Synthetic data generation for tabular data

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

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Copulas - A library to model multivariate data using copulas.

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

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