nist-crc-2023
SDV
| nist-crc-2023 | SDV | |
|---|---|---|
| 7 | 59 | |
| 27 | 2,160 | |
| - | 3.2% | |
| 4.3 | 9.4 | |
| 10 months ago | 5 days ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 or later |
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
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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)
SDV
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Synthetic data generation for tabular data
Can someone help me understand the licensing of this?
https://github.com/sdv-dev/SDV/blob/main/LICENSE
It was MIT licensed up until 2022 where it was changed to what it is now, where they say that it will become MIT again 4 years after release... but is that from when the license was changed or the first release of the software in GitHub?
- SDV: NEW Data - star count:1441.0
- FLaNK Stack Weekly for 30 April 2023
- SDV: NEW Data - star count:1196.0
What are some alternatives?
tdk-demo - This is a collection of TDK demo projects that use different databases and options
CTGAN - Conditional GAN for generating synthetic tabular data.
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! 📊
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
tsfresh - Automatic extraction of relevant features from time series:
Copulas - A library to model multivariate data using copulas.
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)