OpenGVLab
OpenGVLab Joined Nov 2021 View on GitHub
- Stars
- 51,964
- across 92 public repos
- Rank
- #549
- of 94,827 organizations, top 0.6%
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 5,646 | [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型 | Python | 10,168 |
| 10,715 | [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters | Python | 5,911 |
| 13,129 | Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持Windows, macOS, Linux) | Python | 4,925 |
| 19,969 | [CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS. | Python | 3,362 |
| 20,987 | InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image... | Python | 3,204 |
| 23,660 | [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions | Python | 2,863 |
| 28,139 | [ECCV2024] Video Foundation Models & Data for Multimodal Understanding | Python | 2,416 |
| 58,416 | VisionLLM Series | Python | 1,155 |
| 58,516 | [ICLR 2026 Oral] ScaleCUA is the open-sourced computer use agents that can operate on cross-platform environments (Windows, macOS, Ubuntu, Android). | Python | 1,153 |
| 59,081 | Official implementation of SAM-Med2D | Jupyter Notebook | 1,141 |
| 59,413 | [ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding | Python | 1,134 |
| 68,129 | [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs. | Python | 969 |
| 78,353 | [CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking | Python | 834 |
| 86,879 | [CVPR 2024] Deformable Convolution v4 | Python | 748 |
| 99,572 | Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory | 644 | |
| 112,144 | Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA,... | Python | 566 |
| 113,034 | [ICLR 2025 Spotlight] Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures | Python | 561 |
| 118,838 | [ICLR2026] VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling | Python | 531 |
| 123,874 | [ICLR 2024 & ECCV 2024] The All-Seeing Projects: Towards Panoptic Visual Recognition&Understanding and General Relation Comprehension of the Open World" | Python | 507 |
| 142,946 | [ICLR 2025 Spotlight] OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text | Python | 431 |
| 160,092 | [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners | Python | 379 |
| 160,471 | [T-PAMI 2025] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm | Python | 378 |
| 160,868 | Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model | Python | 377 |
| 169,715 | [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models | Python | 355 |
| 170,558 | [ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer | Python | 353 |
| 173,546 | [ICCV2023 Oral] Unmasked Teacher: Towards Training-Efficient Video Foundation Models | Python | 346 |
| 185,769 | [NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents | Python | 320 |
| 197,015 | InternVL-U is a 4B-parameter unified multimodal model (UMM) that brings multimodal understanding, reasoning, image generation, image editing into a single framework. | Python | 299 |
| 198,112 | The suite of modeling video with Mamba | Python | 297 |
| 215,756 | [NIPS2025] VideoChat-R1 & R1.5: Enhancing Spatio-Temporal Perception and Reasoning via Reinforcement Fine-Tuning | Python | 269 |
| 225,654 | MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer | Python | 255 |
| 230,272 | This repo is official implementation of HumanBench (CVPR2023) | Python | 249 |
| 237,463 | Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model | Python | 240 |
| 277,183 | ControlLLM: Augment Language Models with Tools by Searching on Graphs | Python | 199 |
| 291,811 | General Vision Benchmark, GV-B, a project from OpenGVLab | Python | 187 |
| 295,733 | Python | 184 | |
| 295,733 | 184 | ||
| 317,555 | [ICML2025] The code and data of Paper: Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation | Python | 169 |
| 328,920 | Official PyTorch implementation of UniHCP | Python | 162 |
| 328,920 | [ICCV 2025] GUIOdyssey is a comprehensive dataset for training and evaluating cross-app navigation agents. GUIOdyssey consists of 8,834 episodes from 6 mobile devices, spanning 6 types of... | Python | 162 |
| 350,409 | An official implementation of "Hulk: A Universal Knowledge Translator for Human-Centric Tasks" | Python | 150 |
| 377,298 | [CVPR 2024 Champions][ICLR 2025] Solutions for EgoVis Chanllenges in CVPR 2024 | Jupyter Notebook | 137 |
| 379,551 | [ACL 2024] ChartAssistant is a chart-based vision-language model for universal chart comprehension and reasoning. | Python | 136 |
| 395,913 | [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of existing MLLMs to comprehend long multimodal documents. | Python | 129 |
| 416,688 | ZeroGUI: Automating Online GUI Learning at Zero Human Cost | Python | 121 |
| 422,168 | [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI | Python | 119 |
| 439,933 | [NeurIPS 2024 Spotlight ⭐️ & TPAMI 2025] Parameter-Inverted Image Pyramid Networks (PIIP) | Python | 113 |
| 449,446 | Train InternViT-6B in MMSegmentation and MMDetection with DeepSpeed | Jupyter Notebook | 110 |
| 449,446 | [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training | Python | 110 |
| 473,247 | [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging techniques, while incorporating a differentiable compression rate. | Jupyter Notebook | 103 |
| 484,527 | [Accepted By EMNLP 2026 Main Conference] Sequential Diffusion Language Model (SDLM) enhances pre-trained autoregressive language models by adaptively determining generation length and maintaining... | Python | 100 |
| 488,391 | [ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models | Python | 99 |
| 499,807 | Python | 96 | |
| 503,948 | Vinci: A Real-time Embodied Smart Assistant based on Egocentric Vision-Language Model | Python | 95 |
| 516,703 | [CVPR 2024] Data and benchmark code for the EgoExoLearn dataset | Python | 92 |
| 521,203 | [CVPR 2023] implementation of Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information. | 91 | |
| 540,157 | Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces | 87 | |
| 550,027 | 「AAAI 2024」 Referred by Multi-Modality: A Unified Temporal Transformers for Video Object Segmentation | Python | 85 |
| 560,634 | Awesome-DragGAN: A curated list of papers, tutorials, repositories related to DragGAN | 83 | |
| 600,843 | Official Implementation of "Denoising Diffusion Semantic Segmentation with Mask Prior Modeling" | Python | 76 |
| 607,098 | [ICML 2026] GenExam: A Multidisciplinary Text-to-Image Exam | Python | 75 |
| 626,802 | [NeurIPS 2024] Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning | Python | 72 |
| 640,688 | Python | 70 | |
| 655,623 | A curated list of the papers, repositories, tutorials, and anythings related to the large language models for tools | 68 | |
| 679,495 | Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment | Jupyter Notebook | 65 |
| 679,495 | [ICLR 2025] TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning | Python | 65 |
| 687,767 | [ICML2023] Long-Term Rhythmic Video Soundtracker | Python | 64 |
| 704,714 | [ICCV2025] V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding | Python | 62 |
| 774,386 | [CVPR 2025] PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models | Python | 55 |
| 785,713 | Python | 54 |
Among 94,827 organizations
40k–63k stars: 368 organizations, including OpenGVLab
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 48.7k stars, 94% · 59 repos
- Jupyter Notebook 1.6k stars, 3% · 5 repos
When they were made
70 repos with 50+ stars, made between 2022 and 2026
Quick stats
- Next rank
- +38 stars to reach #548
- Next milestone
- +138,761 stars to reach the top 0.1%
- Public repos
- 92, 70 with 50+ stars
- Popular repos
- 11 over 1k stars, 1 over 10k stars
- Top repo
- InternVL, #5,646 of all repos, 20% of stars
- Smaller repos
- 595 stars from repos under 50