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)
genalog | synthetic-data-genomics | |
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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.
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.
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Microsoft Unveils Genalog: An Open Source, AI Cross-Platform Python Package For Generating Document Images With Synthetic Noise
Github: https://github.com/microsoft/genalog
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.
- Show HN: Synthetic Data Genomics
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[P] Synthetic Data Genomics
This is the proof of concept code from a Gretel.ai & Illumina project that used generative neural networks to create synthetic versions of mouse genotype and phenotype data. https://github.com/gretelai/synthetic-data-genomics
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Using AI to create safe, synthetic datasets for genomics
The code in this repository uses Gretel.ai's synthetic data APIs to create synthetic (artificial) versions of real world mouse genotype and connected phenotype datasets. https://doi.org/10.1038/ng.3609. https://github.com/gretelai/synthetic-data-genomics
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.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
nist-crc-2023 - NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!