Synthetic data generation for tabular data

Conditional GAN for generating synthetic tabular data.

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

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

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

Random dataframe and database table generator

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

Large-scale photo-realistic virtual worlds for embodied AI

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

(ECCV 2024) Empowering Multimodal Large Language Model as a Powerful Data Generator

🏞️ Official implementation of "Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition"

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

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

jazznet dataset of piano patterns for music audio machine learning research

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

GRADE: Generating Animated Dynamic Environments for Robotics Research

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

Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.