The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
[ICLR & NeurIPS 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.
Toolkit for linearizing PDFs for LLM datasets/training
Official implementation of AnimateDiff.
