Create Million+ rows of your data.

Replicate your data with the same structure and statistical features as the original dataset, also size it up to million+ records.

Why ?

❓Do you wish to create synthetic data to complement, augment, or even replace actual data while training Machine Learning models?

❓Do you wish to test Machine Learning models or other data-dependent software systems without exposing yourself to the risk of data disclosure?

Benefits

✅Uses several probabilistic graphical modeling and deep learning based techniques for pattern recognition.

✅Uses hierarchical generative modelling and recursive sampling approaches to provide a range of data storage architectures.

What do you get?

❇️Code in Colab Notebook (No setup required)

❇️Code in Jupyter Notebook form.

❇️Sample 1M rows of titanic dataset.

👉🏼👉🏼Use Colab Notebook here