nist-crc-2023
NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week! (by Data-Centric-AI-Community)
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)
| nist-crc-2023 | genalog | |
|---|---|---|
| 7 | 1 | |
| 27 | 322 | |
| - | 0.0% | |
| 4.3 | 0.0 | |
| almost 2 years ago | over 1 year 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.
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.
nist-crc-2023
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.
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Assessing the Quality of Synthetic Data with Data-centric AI
Data Quality is key for all applications and models, and LLMs are no exception :) I've been working on a small community project with synthetic data using ydata-synthetic, and it really shows! Underrepresentation (category imbalance) and missing data are two of the main issues!
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Is anyone willing to work with us on a Synthetic Data Project?
Hey everyone! At the Data-Centric AI Community, we have started a project around synthetic data.
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Where can I find data science projects to gain more experience.
Hey! You can find several resources online, check out this repo. Also, if you're up for it, we are running aproject on synthetic data (instructions are given weekly) on the Data-Centric AI Community. You'll find the #ds-projects channel and the #nist-challenge project where we're currently working on.
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Have a lot of free time in my DS work, feel guilty about it, is it normal?
To atone for your sins, I think you should consider mentoring others in your "free" time 😂 We sure could use someone with your skills in teaching a group of young data scientists in the making. We actually have started a project on Synthetic Data and we could definitely use your expertise!
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How can a correlation coefficient be "invalid"?
I've been working on this NIST challenge. We're at week 3 and we're supposed to profile the data, but using ydata-profiling, I'm getting invalid coefficients, some values return 'NaN', do you have some ideas why this is happening? Thank you guys
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Datacamp Bootcamp!
Projects for sure. Can I invite you to the Data-Centric AI Community? We're starting a project on synthetic data this week with more to come next month! :) Here's the repo for that one: https://github.com/Data-Centric-AI-Community/nist-crc-2023
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Synthetic Data Community Project
Heres's our repository: 🚀 (https://github.com/Data-Centric-AI-Community/nist-crc-2023)
genalog
Posts with mentions or reviews of genalog.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Microsoft Unveils Genalog: An Open Source, AI Cross-Platform Python Package For Generating Document Images With Synthetic Noise
Github: https://github.com/microsoft/genalog
What are some alternatives?
When comparing nist-crc-2023 and genalog you can also consider the following projects:
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! 📊
Copulas - A library to model multivariate data using copulas.
tdk-demo - This is a collection of TDK demo projects that use different databases and options
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.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019