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.
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Updated
May 23, 2024 - Python
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.
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
The Gretel Python Client allows you to interact with the Gretel REST API.
Metrics to evaluate quality and efficacy of synthetic datasets.
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
awesome synthetic (text) datasets
Synthetic data generation for tabular data
⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.
A procedural Blender pipeline for photorealistic training image generation
Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
Open-source version of the TDspora synthetic data generation algorithm.
a curated list of data for reasoning ai
PostgreSQL database anonymization tool
Synthesizer - a code for creating synthetic astrophysical spectra
2010 U.S. Synthetic Population Ver. 1
Synthetic data generators for tabular and time-series data
Benchmarking synthetic data generation methods.
Software for evaluating the quality of synthetic data compared with real data.
Synthetic Patient Population Simulator
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..
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