SDV VS genalog

Compare SDV vs genalog and see what are their differences.

SDV

Synthetic data generation for tabular data (by sdv-dev)
synthetic-data Machine Learning relational-datasets multi-table time-series synthetic-data-generation sdv data-generation generative-adversarial-network Gan Gans Deep Learning generative-ai generative-model generativeai
Source Code
docs.sdv.dev
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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)
Ner ocr-recognition Python text-alignment data-generation Data Science Machine Learning synthetic-data synthetic-images synthetic-data-generation
Source Code
microsoft.github.io
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SDV genalog
59 1
2,117 295
14.0% 2.7%
9.3 0.0
7 days ago 3 months ago
Python Jupyter Notebook
GNU General Public License v3.0 or later 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.

SDV

Posts with mentions or reviews of SDV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

genalog

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 SDV and genalog you can also consider the following projects:

CTGAN - Conditional GAN for generating synthetic tabular data.

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

gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.

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.

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

Copulas - A library to model multivariate data using copulas.

tsfresh - Automatic extraction of relevant features from time series:

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

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python

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

SDV vs CTGAN genalog vs deep-text-recognition-benchmark SDV vs gretel-python-client genalog vs synthetic-data-genomics SDV vs machine-learning-for-trading genalog vs Copulas SDV vs tsfresh genalog vs docutron SDV vs Copulas genalog vs ML-For-Beginners SDV vs TimeSynth genalog vs nist-crc-2023