Copulas
CTGAN
Our great sponsors
| Copulas | CTGAN | |
|---|---|---|
| 1 | 2 | |
| 504 | 1,136 | |
| 3.2% | 3.7% | |
| 7.3 | 7.9 | |
| 5 days ago | 5 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.
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.
Copulas
-
[D] Has anyone used "copulas" before?
nice Python library for modeling with copulas that I've worked with: https://github.com/sdv-dev/Copulas
CTGAN
What are some alternatives?
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
SDV - Synthetic data generation for tabular data
Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.
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
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.
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.
SDGym - Benchmarking synthetic data generation methods.