PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation

BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities

ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

CoTracker is a model for tracking any point (pixel) on a video.

Out-of-the-box (OOTB) GUI Agent for Windows and macOS

[NeurIPS 2024] The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"

Official repo for Medical Image Segmentation Review: The Success of U-Net

[EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer

Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

[NeurIPS 2024] SCube: Instant Large-Scale Scene Reconstruction using VoxSplats

Code release for https://kovenyu.com/WonderWorld/

Official PyTorch implementation of "Framer: Interactive Frame Interpolation".

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

MONAI Label is an intelligent open source image labeling and learning tool.

3D Slicer Plugin for Segment anything in medical images

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

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 th…

This repository contains the code for the NeurIPS paper titled "RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation"

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

[CVPR 2024] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

MONAI Versatile Imaging Segmentation and Annotation