facebookresearch / dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
☆9,239Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for dinov2
- [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"☆4,391Updated 3 months ago
- Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and …☆15,175Updated 2 months ago
- Segment Anything in High Quality [NeurIPS 2023]☆3,713Updated this week
- [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"☆6,768Updated 3 months ago
- LAVIS - A One-stop Library for Language-Vision Intelligence☆9,943Updated this week
- An open source implementation of CLIP.☆10,344Updated last week
- PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation☆4,823Updated 3 months ago
- Fast Segment Anything☆7,510Updated 3 months ago
- Official repo for consistency models.☆6,168Updated 7 months ago
- Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI…☆6,504Updated 5 months ago
- PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO☆6,382Updated 4 months ago
- Painter & SegGPT Series: Vision Foundation Models from BAAI☆2,523Updated last year
- Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).☆2,152Updated last year
- Open-source and strong foundation image recognition models.☆2,893Updated 3 months ago
- The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoi…☆47,677Updated 2 months ago
- An open-source framework for training large multimodal models.☆3,750Updated 2 months ago
- [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"☆2,362Updated 4 months ago
- EVA Series: Visual Representation Fantasies from BAAI☆2,307Updated 3 months ago
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"☆10,776Updated 3 months ago
- Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"☆6,369Updated 5 months ago
- Grounded Language-Image Pre-training☆2,226Updated 9 months ago
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters☆5,760Updated 8 months ago
- Implementation of Denoising Diffusion Probabilistic Model in Pytorch☆8,373Updated last month
- This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!☆4,832Updated 9 months ago
- High-Resolution Image Synthesis with Latent Diffusion Models☆11,890Updated 8 months ago
- Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.☆3,723Updated 3 months ago
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆8,660Updated this week
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆7,958Updated this week
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆25,990Updated 3 months ago
- Scenic: A Jax Library for Computer Vision Research and Beyond☆3,334Updated last month