The open-source AI workbench for scientific research
An embodied neural experiment connecting a simulated ant to a synthetic neural controller
Romanian and Ukrainian child-safety structured-check toolkit and synthetic research records
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
HAEnv — synthetic longitudinal patients with code-derived gold, for evaluating health agents over time
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
Open-source status page, incident response and uptime monitoring
Synthetic data generation for tabular data
Python Toolkit for Causal and Probabilistic Reasoning
Build, enrich, and transform datasets using AI models with no code
Conditional GAN for generating synthetic tabular data.
DLSS 5 neural rendering in D3D11/D12/Vulkan games that ship without any DLSS — feeds a synthetic DLAA contract (ReShade depth + motion vectors) to the DLSS 5 add-on via a private D3D12 device.
Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.
Player-1: Learning to Play from Synthetic Experience
SPADE: Self-Play in Adaptive Synthetic Executable Environments
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Synthetic Patient Population Simulator
SDG is a specialized framework designed to generate high-quality structured tabular data.
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
A Kubernetes operator for running synthetic checks as pods. Works great with Prometheus!
A self-hosted address and synthetic test-profile generator for 27 countries and regions, built from real open-data streets, administrative areas, coordinates, and postcodes. Supports multilingual output, IP-nearby generation, map previews, and API access. 基于真实开放数据的自托管地址与合成测试资料生成器,覆盖 27 个国家和地区,支持多语言地址、IP 附近生成、地图预览与 API 调用
Database anonymization and test data management
Synthetic data curation for post-training and structured data extraction
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.
Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.
An open-source coding helper. Very friendly!
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
Synthetic monitoring engine with Playwright and Prometheus metrics
Synthetic Data SDK ✨
Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetry.
GHOSTS (General Human-Oriented Synthetic Teammates and Systems) is a realistic user simulation framework for cyber experimentation, simulation, training, and exercise
An active monitoring software to detect failures before your customers do.
A library to model multivariate data using copulas.
Monika is a command line application to monitor every part of your web app using a simple YAML configuration file. Get alert not only when your site is down but also when it's slow.
Compose multimodal datasets 🎹
Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.
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.
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
Verifiable handwriting synthesis for failure-driven multimodal training and regression.
Read-only MBR/GPT inspection, public file signature definitions, and synthetic disk image tools. AGPL-3.0-only.
Python CLI toolkit for payment QA: generate and validate synthetic Luhn-valid card numbers by brand, BIN, or custom pattern. Supports Visa, Mastercard, Amex, Discover and more, plus BIN/IIN lookup, expiry/CVV checks, bulk validation, masking, and TXT/CSV/JSON export. Offline and cross-platform.
Synthetic data generation, post-training, and E2B benchmark evaluation infrastructure.
Purpose-bound authorization reference: RBAC + ABAC + ReBAC, row/field controls, fidelity gates, lifecycle governance, and a tested 100K synthetic-data path.
Auditable Vietnamese public-service dossier workflow prototype
Autonomous experiment-pipeline orchestrator: versioned research-plan DSL with dependency DAGs, deterministic checkpoint/resumable executor, tamper-evident provenance ledger, UCB1/Thompson schedulers with measured regret against synthetic oracles, ablation bookkeeping, offline report synthesis. NumPy core, CPU-only torch extra.
PostgreSQL schema and Flask REST API for a cryptocurrency exchange: 22 tables spanning custody, markets, and order-book/OTC/P2P trade paths, with analytical queries and synthetic seed data.
Synthetic episode generation pipeline of the Agentic Real2Sim project.
BidKing product source, self-hostable service components, and a standalone discrete-inference toolkit. MIT-licensed first-party code.
A framework for building synthetic worlds for AI agents. Useful for RL and evaluation environments.
Synthetic customer panel: test marketing copy against a calibrated panel of AI personas before it ships. MIT.
Verify what AI coding agents can actually read, write, execute and reach using synthetic canaries.
Deterministic synthetic fingerprints from a seed. Zero dependencies, Node.
Explore data center power continuity, energy ledgers & infrastructure assumptions through reproducible synthetic models.
End-to-end spoken language understanding toolkit: a small trainable neural audio codec with RVQ, joint intent-and-slot models over speech features, streaming partial intents, a speech-LLM instruction data pipeline, and turn-level evaluation with reproducible reports. NumPy core with a CPU-only torch extra; synthetic data only, fully offline.
AI-readable PC-98 localization research handbook in Traditional Chinese, with FM/SSG, MIDI and PCM validation workflows and synthetic examples.