SDGym
Copulas
SDGym | Copulas | |
---|---|---|
1 | 1 | |
242 | 505 | |
1.2% | 1.4% | |
7.8 | 8.1 | |
2 days ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
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SDGym
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[D] Synthetic data generation techniques for data privacy
I would suggest starting with "differentially private synthetic data generation". These methods utilize differential privacy and mostly protect against membership inference attacks, are very popular in the ML/DL community. I would also suggest reading up on privacy preserving ML methods in general and adversarial attacks against them (membership inference, inversion, reconstruction, property inference), but if you're keen on reading some code, check out sd-gym: https://github.com/sdv-dev/SDGym. The authors have collected implementations for a lot of PPSDG methods. Also I strongly suggest reading McMahan's 2016 paper: https://arxiv.org/abs/1607.00133.
Copulas
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[D] Has anyone used "copulas" before?
nice Python library for modeling with copulas that I've worked with: https://github.com/sdv-dev/Copulas
What are some alternatives?
Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.
CTGAN - Conditional GAN for generating synthetic tabular data.
SDV - Synthetic data generation for tabular data
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
FAST-RIR - This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
DPL - [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.
ydata-synthetic - Synthetic data generators for tabular and time-series data
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.