Synthetic data generation for tabular data

Conditional GAN for generating synthetic tabular data.

A library to model multivariate data using copulas.

Deep Convolutional Neural Networks for Musical Source Separation

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

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Random dataframe and database table generator

A novel approach for synthesizing tabular data using pretrained large language models

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Custom image data generator for TF Keras that supports the modern augmentation module albumentations

Synthetic Data Generation for mixed-type, multivariate time series.

[ICCV 2025 Highlights] Large-scale photo-realistic virtual worlds for embodied AI

A Keras/Tensorflow compatible image data generator for TripletLoss

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

End-to-end robot control based on generative diffusion model

GRADE: Generating Animated Dynamic Environments for Robotics Research

Python wrapper for the Hypervector API (https://hypervector.io)

NoiseMix - data generation for natural language

Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.

Python script and Lua extension using BeamNG.tech to generate low impact crash scenarios and ground truth data for imitation learning.