nist-crc-2023
awesome-data-centric-ai
| nist-crc-2023 | awesome-data-centric-ai | |
|---|---|---|
| 7 | 7 | |
| 27 | 304 | |
| - | 1.6% | |
| 4.3 | 3.2 | |
| 10 months ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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)
awesome-data-centric-ai
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Thoughts: Continue current degree with one year left, or start anew with degree apprenticeship
I would finish the degree anyway. It's only one year left. If teachers miss classes, I would disregard that and try to learn on my own, and then yes, I would move on to an internship (or even do It at the same time if it's possible). If you like, come as meet us at the Data-Centric AI Community and we can do some projects together :)
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Data science projects
Definitely a lot of growth in the AI space, and it will evolve rapidly in the next few years. There several paid propositions at the Data-Centric AI Community discord, check them out.
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I absolutely hate my internship
2: Tbh, quit (?) We have open jobs at the Data-Centric AI Community. Bonus points: you can vent there as much as you want
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Prioritise Data Science Projects
Let me invite you to the Data-Centric AI Community we have several code along sessions and projects and a lot of beginners that are starting to learn DS that you can connect with.
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Imbalanced data
If you need specific help with your project you can find me at the Data-Centric AI Community and we'll be happy to take a look and give you some tips to move forward :)
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Building my first Porfolio
You can share with us your progress on the Data-Centric AI Community and ask someone to review it, we often do that with CVs as well and help each other out.
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[Q] How to generate synthetic dataset for anomaly detection?
Maybe you can use a synthetic data generator and use your current dataset as input? I believe there are a lot of GAN-based models for this purpose out there. The ones listed on https://github.com/Data-Centric-AI-Community/awesome-data-centric-ai are mostly focused on structured data, but I'm sure there are similar packages for images.
What are some alternatives?
tdk-demo - This is a collection of TDK demo projects that use different databases and options
ydata-synthetic - Synthetic data generators for tabular and time-series 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! 📊
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
walkalongs - Resources and solutions of various technologies that I am currently learning
SDV - Synthetic data generation for tabular data
DataScienceProjects
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Portfolio
fullnamematchscore-go - Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge
awesome-generative-ai-companies - A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.