LancerLian's starred repositories

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

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awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

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.

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

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Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

mmcv

OpenMMLab Computer Vision Foundation

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exercise

exercise for nndl

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SSL4MIS

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

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WZU-machine-learning-course

温州大学《机器学习》课程资料(代码、课件等)

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Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

VisDrone-Dataset

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

SAM-Med2D

Official implementation of SAM-Med2D

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SAM4MIS

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

CLIP-Driven-Universal-Model

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

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WORD

[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

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VisDrone2018-DET-toolkit

Object Detection in Images toolkit for VisDrone2019

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PASS

The baseline method for LUSS task.

BoundaryDoULoss

Code for Boundary Difference Over Union Loss For Medical Image Segmentation

cpp-language-study

谭浩强C++学习经典红皮书课后习题自做源码

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course-cpp

基础课程,《C++面向对象程序设计》课程仓库

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vMFNet

vMFNet: Compositionality Meets Domain-generalised Segmentation

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NOTES

日常笔记、读书笔记

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nsfc

NSFC国家自然科学基金申请书正文LaTeX模板

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