Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..

a curated list of data for reasoning ai

A simulation of network traffic using synthetic network traffic for 802.11, 3G GSM, 4G LTE, and 5G NR

Conditional GAN for generating synthetic tabular data.

A Postgres Proxy to Mask Data in Realtime

Benchmarking synthetic data generation methods.

⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.

Generative modeling of synthetic time series data and time series augmentations

Synthetic data generation for tabular data

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Synthetic data generators for tabular and time-series data

Official implementation of "Generating images with 3D annotations using diffusion models".

The Gretel Python Client allows you to interact with the Gretel REST API.

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

Synthesizer - a code for creating synthetic astrophysical spectra

Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system

SDV

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

Infer a JSON schema from example data, produce nonsense synthetic data (drivel) according to the schema