stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
stefan-jansen / machine-learning-for-trading
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.
synthetichealth / synthea
Synthetic Patient Population Simulator
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.
GreenmaskIO / greenmask
Database anonymization and test data management
bespokelabsai / curator
Synthetic data curation for post-training and structured data extraction
huggingface / aisheets
Build, enrich, and transform datasets using AI models with no code
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.
mkbhardwas12 / purposemesh
Purpose-bound authorization reference: RBAC + ABAC + ReBAC, row/field controls, fidelity gates, lifecycle governance, and a tested 100K synthetic-data path.
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.
sammargolis / DrugTargetWorld
DrugTargetWorld: a synthetic biobank for training and benchmarking AI scientists on end-to-end drug target discovery. Paper: arXiv:2610.09558
mohammadrezwankhan / datacenter-twin-lab
Explore data center power continuity, energy ledgers & infrastructure assumptions through reproducible synthetic models.