synthetic-data

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

A procedural Blender pipeline for photorealistic training image generation

Synthetic data generation for tabular data

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Python Toolkit for Causal and Probabilistic Reasoning

Synthetic Patient Population Simulator

SDG is a specialized framework designed to generate high-quality structured tabular data.

UnrealCV: Connecting Computer Vision to Unreal Engine

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

Database anonymization and test data management

Synthetic data curation for post-training and structured data extraction

Synthetic data generators for tabular and time-series data

Build, enrich, and transform datasets using AI models with no code

Conditional GAN for generating synthetic tabular data.

The Declarative Data Generator

A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions

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

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation.

Synthetic Data SDK ✨

Official code for MAMMA: Markerless Accurate Multi-person Motion Acquisition.

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

A library to model multivariate data using copulas.