The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

Book about interpretable machine learning

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Metric depth estimation from a single image

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.