Build effective agents using Model Context Protocol and simple workflow patterns

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

A 3D Slicer integration to Meta's SAM.

Official Pytorch implementation for MU-Diff: A Mutual Learning Diffusion Model for Synthetic MRI with Application for Brain lesions

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

Pytorch Implementation of "SMITE: Segment Me In TimE" (ICLR 2025)

[WACV2025, Early Accepted] McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis

Radiology Report Generation with Frozen LLMs

Official code for "Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation" (CVPR 2023)

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

This introduces a suggestion of mathematical notation protocol for machine learning.

An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.

CausalVLR: A Toolbox and Benchmark for Vision-Language Causal Reasoning (多模态因果推理开源框架)

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

[CIBM'24] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary

PCD data recorded via Trimble SX12

This is a python class for Waveshare USB-CAN-A and python class for imuf99pl imu sensor.

Official code for VisProg (CVPR 2023 Best Paper!)

The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image analysis, AI and computer vision. The moderators will briefly…

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

A python library for decision tree visualization and model interpretation.

This code can be used to automatically get the nearest Mountpoint for GNSS RTK applications. And receive RTCM3 data. The GUI can be use for quick testing.

Computations and statistics on manifolds with geometric structures.

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

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