CTGAN
DeepEcho
CTGAN | DeepEcho | |
---|---|---|
2 | 1 | |
1,273 | 105 | |
2.4% | 3.8% | |
8.3 | 7.5 | |
4 days ago | 4 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.
CTGAN
DeepEcho
What are some alternatives?
SDV - Synthetic data generation for tabular data
trainer - Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.
Copulas - A library to model multivariate data using copulas.
DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
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-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Mimesis - Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
SDGym - Benchmarking synthetic data generation methods.