DataCebo Team
08 March, 2023
The SDV 1.0 library has formalized key principles for generative AI. See what's new and enrich your synthetic data project.
Neha Patki
27 February, 2023
Use the SDV Flights Synthesizer to simulate disruptive scenarios and improve software resilience.
09 February, 2023
A 2022 year-end review of the SDV and what you can expect in 2023.
07 February, 2023
Understand categorical data to help you create higher quality synthetic data
26 January, 2023
Our open source grew faster when we adopted a user-centric mindset. Here are 3 strategies we used along the way.
Kalyan Veeramachaneni
23 January, 2023
How we define a user in 2023 to build a community around synthetic data.
10 January, 2023
Imbalanced data can prevent your projects from succeeding. Will synthetic data work? Explore the rationale behind label balancing.
Santiago Gomez Paz
20 December, 2022
It can be difficult to verify the progress that a GAN is making. What if we combined it with easily interpretable metrics and visualizations?
07 October, 2022
Proper evaluation is critical when using synthetic data. Avoid this common mistake and lead your project to success.
Arnav Modi
24 February, 2022
What happens when you train a machine learning model on synthetic data instead of real data? Let's experiment to find out.
25 January, 2022
Sometimes, you want to limit the amount of permutations in your synthetic data. Explore the strategies we used for enforcing this kind of logic.
03 January, 2022
In this article, we summarize SDV growth – downloads as well as community building – that indicates increasing market demand for synthetic data.
Let's put synthetic data to work.
