VincentGranville/Main
Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..
This project helps data scientists and analysts create artificial datasets that mimic the statistical properties of their original, sensitive data. You input your existing tabular data, and it outputs a synthetic dataset that's safe to share and analyze without compromising privacy. This is ideal for anyone working with confidential information who needs to train models, test hypotheses, or share data without revealing sensitive details.
100 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, privacy-preserving synthetic tabular data much faster than traditional generative AI methods, for tasks like model training or data sharing.
Not ideal if you are looking for generative AI models focused on text, images, or other non-tabular data types.
Stars
100
Forks
31
Language
Python
License
—
Category
Last pushed
Sep 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/VincentGranville/Main"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
aws-samples/generative-ai-ml-latam-samples
This repo provides Generative AI and AI/ML code samples, blueprints (end-to-end solutions) and...
dkanungo/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
morganstanley/MSML
Repo for Morgan Stanley Machine Learning Research group's publications
Yash-Kavaiya/GenAI-Learning
Up-to-Date Content: We regularly update our repository with new courses, articles, and tutorials...