Mentholatum

Mentholatum's Stars

• ljwztc/CLIP-Driven-Universal-Model

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

  Language:Python56569

• qintianjian-lab/RAS4DG

  [MICCAI 2024] Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

  Language:Python11

• miss-mumu/developer2gwy

  公务员从入门到上岸，最佳程序员公考实践教程

  8.4k713

• White65534/XLIP

  Official implementation of XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

  6

• HitBadTrap/MMD

  Language:Python1

• MzeroMiko/vHeat

  vHeat: Building Vision Models upon Heat Conduction

  Language:Python956

• zjhellofss/KuiperInfer

  校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

  Language:C++2.5k277

• jianxuecn/UCAS_IIPLAB_THESIS

  The LaTeX template for writing the thesis in IIPLAB, UCAS

  Language:TeX2

• Tencent/MedicalNet

  Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

  Language:Python1.9k414

• Homiss/Java-interview-questions

  🌱不定期收集整理Java相关面试题

  Language:HTML695192

• CoderLeixiaoshuai/java-eight-part

  『Java八股文』Java面试套路，Java进阶学习，打破内卷拿大厂Offer，升职加薪！

  Language:Java5.9k988

• NAOSI-DLUT/Campus2024

  2024届互联网校招信息汇总

  96072

• UCSC-VLAA/SwinMM

  [MICCAI 2023] This repository includes the official implementation our paper "SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation"

  Language:Python996

• Sherrylone/PQCL

  ICLR 2023 and ICML 2023 paper

  Language:Python191

• med-air/3DSAM-adapter

  Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

  Language:Python14912

• mahdihosseini/HistoKT

  Cross Knowledge Transfer in Computational Pathology [ICASSP2022]

  Language:Python92

• facebookresearch/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.

  Language:Jupyter Notebook47.2k5.6k

• DeepMed-Lab-ECNU/BCP

  Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation (CVPR 2023)

  Language:Python15214

• Nerver4Ever/SevenSha1UIAdvancedHelper

  转存助手ui优化版

  Language:JavaScript1.8k573

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.9k8k

• google-research/tuning_playbook

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

  26.9k2.2k

• HiLab-git/SSL4MIS

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  Language:Python2.2k385

• Westlake-AI/openmixup

  CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

  Language:Python62262

• Delay-Xili/SDNet

  An official codebase of paper "Revisiting Sparse Convolutional Model for Visual Recognition"

  Language:Python1226

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.9k942

• mohuangrui/ucasproposal

  LaTeX Proposal Template for the University of Chinese Academy of Sciences

  Language:TeX603136

• The-Run-Philosophy-Organization/run

  润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。

  31.6k2.6k

• imaginistLi/MiniViewer

  A little viewer for visualizing medical images and respective labels

  Language:Python256

• lyhue1991/eat_pytorch_in_20_days

  Pytorch🍊🍉 is delicious, just eat it! 😋😋

  Language:Jupyter Notebook5.2k1.1k

• black0017/MedicalZooPytorch

  A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

  Language:Python1.7k299