oumi-ai / oumi

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

datajuicer / data-juicer

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

Kiln-AI / Kiln

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

lk-geimfari / mimesis

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

sdv-dev / SDV

Synthetic data generation for tabular data

argilla-io / distilabel

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

pgmpy / pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

hitsz-ids / synthetic-data-generator

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

NVIDIA-NeMo / DataDesigner

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

bespokelabsai / curator

Synthetic data curation for post-training and structured data extraction

axoviq-ai / synthadoc

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.

sdv-dev / CTGAN

Conditional GAN for generating synthetic tabular data.

nolabs-ai / deepfabric

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

mostly-ai / mostlyai

Synthetic Data SDK ✨

sdv-dev / Copulas

A library to model multivariate data using copulas.

remyxai / VQASynth

Compose multimodal datasets 🎹

expectedparrot / edsl

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.

databrickslabs / dbldatagen

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

znxzsy / VeriInk

Verifiable handwriting synthesis for failure-driven multimodal training and regression.

thetahealth / mirobody-env

HAEnv — synthetic longitudinal patients with code-derived gold, for evaluating health agents over time

SeasonCake / bidking-inference

BidKing product source, self-hostable service components, and a standalone discrete-inference toolkit. MIT-licensed first-party code.