tdk-demo
nist-crc-2023
| tdk-demo | nist-crc-2023 | |
|---|---|---|
| 3 | 7 | |
| 16 | 27 | |
| - | - | |
| 8.4 | 4.3 | |
| 14 days ago | 10 months ago | |
| YAML | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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tdk-demo
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)
What are some alternatives?
DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
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! 📊
discus - A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
PeopleSansPeople - Unity's privacy-preserving human-centric synthetic data generator
SDV - Synthetic data generation for tabular data
generatedata - A powerful, feature-rich, random test data generator.
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
REaLTabFormer - A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.