Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.

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

[WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation

awesome synthetic (text) datasets

The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.

Modelling and Inference of MICrobiomes Project (MIMIC) is a Python package dedicated to simulate, model, and predict microbial communities interactions

This Person Might Exist - Synthetic dataset generation

Large scale simulations made simple.

This repository contains documents and source code related to John W. Belanger Smutny's Viriginia Tech Master's of Engineering senior capstone project on "The Effect of Training Published Computer Vision Models on Unreal Engine Synthetic Images". An Introduction to the Synergy between Graphics Rendering Software and Machine Learning.

This project allows users to generate synthetic videos from CAD models, including .npy files with additional information. Models are loaded dynamically into a Blender scene, and the camera smoothly moves along spherical points to create the final video.

Generate synthetic clinical study data in the form of individual patients.

Can LMs generate useful synthetic data for the mental health domain?

A framework for prompt tuning using Intent-based Prompt Calibration

Targeted Data Generation with Large Language Models

The Anonymous Synthesizer for Health Data

Multidimensional cluster generation in Python

To enhance the interaction between local governments and the communities they represent, we leveraged the power of AI to simplify the complaint management process for government entities.

SDV

Codebase for Talk Is Deep paper. Generate 1 million, 10-turn scientific conversations and train LLMs with the data.

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤