HumanVid

Official repository for LTX-Video

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

SynCD: Generating Multi-Image Synthetic Data for Text-to-Image Customization

Synthetic data curation for post-training and structured data extraction

Perception toolkit for sim2real training and validation in Unity

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!

A curated list of awesome projects which use Machine Learning to generate synthetic content.

Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" (TMLR 2024)