Stars
[TMI 2024] "SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI"
MedLSAM: Localize and Segment Anything Model for 3D Medical Images
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
[CVPR2024 🏆 Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration
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.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Code for the Cardiac MRI Reconstruction Challenge 2024 (CMRxRecon2024)
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
Retrospective motion-correction of 3D MRI k-space data in Matlab
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
Re-implement DAGAN in the PyTorch
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
OpenMMLab Foundational Library for Training Deep Learning Models
Motion-state weighted Motion-Compensation reconstruction algorithm
binjie09 / chatgpt-web
Forked from Chanzhaoyu/chatgpt-web使用 express 和 vue3 搭建的 ChartGPT 演示网页
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.
Noeme2D / inochi2d
Forked from Inochi2D/inochi2dInochi2D reference implementation aimed at rendering 2D puppets that can be animated in real-time (using eg. facial capture).
Source Han Serif | 思源宋体 | 思源宋體 | 思源宋體 香港 | 源ノ明朝 | 본명조
State-Aware Tracker for Real-Time Video Object Segmentation
根据上海交通大学研究生院给出的研究生学位论文写作模版(https://www.gs.sjtu.edu.cn/info/1136/8374.htm) 进行修改适配，解决latex模版中的一些错误，以及和word模版不一致问题
Files for DOSBox + MASM Win32 assembly environment. Tutorial: https://blog.csdn.net/YuzuruHanyu/article/details/80287419