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The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Awesome-LLM: a curated list of Large Language Model
🐍 Geometric Computer Vision Library for Spatial AI
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
Solve Visual Understanding with Reinforced VLMs
Official implementation of MedCLIP-SAM (MICCAI 2024)
Collection of awesome medical dataset resources.
Official Code for our MICCAI paper "VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation"
Develop dose prediction models for knowledge-based planning in radiotherapy
[Official Repo] Visual Mamba: A Survey and New Outlooks
The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
ServerBox - server status & toolbox
A grid sampler for larger-than-memory N-dimensional images
[NeurIPS'23] Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
Code for Boundary Difference Over Union Loss For Medical Image Segmentation
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
Segment Anything Model (SAM) native Qt UI
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything