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Wang Xiaolin's starred repositories

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

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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。

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wechat-chatgpt

Use ChatGPT On Wechat via wechaty

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

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bilingual_book_maker

Make bilingual epub books Using AI translate

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consistency_models

Official repo for consistency models.

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Student-resources

本文介绍的是利用学生、教职工身份可以享受到的相关学生优惠、教育优惠或教师优惠的权益，但也希望各位享受权利的同时不要忘记自己的义务，不要售卖、转手自己的学生优惠、教育优惠的资格，使得其他同学无法受益。

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How-to-run

立党零基础转码笔记

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UNetPlusPlus

[IEEE TMI] Official Implementation for UNet++

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awesome-education

学生福利-收集支持教育优惠的软件与服务

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xduts

Xidian University TeX Suite 西安电子科技大学LaTeX套装

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MOTR

[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer

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SINet

Camouflaged Object Detection, CVPR 2020 (Oral)

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Visual-Tracking-Development

Visual Object Tracking

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Infrared-Small-Target-Detection

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mmdet-rfla

ECCV22: RFLA

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AutoLabelImg

auto-labelimg based on yolov5, with many other useful tools

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SINet-V2

Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.

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MogaNet

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

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IEEE_TIP_UIU-Net

Xin Wu, Danfeng Hong, Jocelyn Chanussot. UIU-Net: U-Net in U-Net for Infrared Small Object Detection, IEEE Trans. Image. Process., 2022, 32: 364-376.

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MDvsFA_cGAN

The tensorflow and pytorch implementations of the MDvsFA_cGAN model which is proposed in ICCV2019 paper "Huan Wang, Luping Zhou and Lei Wang. Miss Detection vs. False Alarm: Adversarial Learing for Small Object Segmentation in Infrared Images. International Conference on Computer Vision, Oct.27-Nov.2,2019. Seoul, Republic of Korea".

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