fengshixiang

mamba

Mamba SSM architecture

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hugging-llm

HuggingLLM, Hugging Future.

EfficientSAM

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

kimimaro

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

CUDA-Programming-Guide-in-Chinese

This is a Chinese translation of the CUDA programming guide

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

nnUNet

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

PRIME

BROW

STU-Net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.

MIU-VL

This is a repository for the ICLR2023 accepted paper -- Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study.

CITE

[MICCAI'23] Text-guided Foundation Model Adaptation for Pathological Image Classification

XrayPULSE

DeblurringMIM

PathoDuet

PULSE-COVID-19

PULSE

PULSE: Pretrained and Unified Language Service Engine

USFM

Endo-FM

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

MedFM

Official Repository of NeurIPS 2023 - MedFM Challenge

KAD

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

open_flamingo

An open-source framework for training large multimodal models.

segment-anything

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.

TaskMatrix

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.