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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Reference PyTorch implementation and models for DINOv3
Segment Anything in Medical Images
Official implementation of SAM-Med2D
Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020
Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
The supplementary code for the pulmonary artery-vein segmentation with various inter-slice thickness