Repository Index

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

• machine-learning
• trading
• investment
• finance

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

• mimesis
• fake
• data
• generator

Synthetic Patient Population Simulator

• synthea
• synthetic-data
• synthetic-population
• fhir

Python Toolkit for Causal and Probabilistic Reasoning

• python
• bayesian-networks
• causal-inference
• causal-discovery

TranslatedA 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.

• address
• address-generation
• address-generator
• mock-data

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.

• agent-skills
• agentic-ai
• cli-tool
• domain-adaptation

Database anonymization and test data management

• golang
• obfuscation
• postgresql
• security

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

The Declarative Data Generator

• rust
• test-data-generator
• synthetic-data
• json

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.

• developer-tools
• golang
• quota-tracker
• ai-api-monitoring

A Go package for engineering organisms.

• synthetic-biology
• synbio
• genetic-engineering
• molecular-biology

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

• robotics
• tracking
• computer-vision
• pose-estimation

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

• deep-learning
• agriculture
• pytorch
• dataset

Romanian and Ukrainian child-safety structured-check toolkit and synthetic research records

This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.

• labeling-tool
• label
• tensorflow
• deep-learning

BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.

• testdata
• anonymization
• migration
• performance-testing

Synthetic Adversarial Log Objects: A Framework for synthentic log generation

Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk

• clickhouse
• data-engineering
• data-generation
• devops

Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.

• microscopy
• image-processing
• segmentation
• biology

Free sample: 42-table synthetic business dataset with double-entry accounting. AdventureWorks alternative. CSV + SQL + Parquet + SQLite. AU tax compliance (ATO/GST).

• accounting
• australia
• business-data
• csv