Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
-
Updated
Jul 12, 2024 - Python
Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
A procedural Blender pipeline for photorealistic training image generation
Synthetic data generation for tabular data
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Conditional GAN for generating synthetic tabular data.
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
A multi-purpose LLM framework for RAG and data creation.
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
A library to model multivariate data using copulas.
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Official repository for "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient and high-quality synthetic data generation pipeline!
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
Synthetic Minority Over-Sampling Technique for Regression
Add a description, image, and links to the synthetic-data topic page so that developers can more easily learn about it.
To associate your repository with the synthetic-data topic, visit your repo's landing page and select "manage topics."