Pinned Repositories
AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
blogtalk
comments
CBSH2-RTC
An optimal MAPF sovler: CBS+prioritizing conflicts+bypassing+high-level heuritstics+symmetry reasoning
CEAM-YOLOv7
CEAM-YOLOv7: Improved YOLOv7 Based on Channel Expansion and Attention Mechanism for Driver Distraction Behavior Detection
chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
clash-dashboard
clash-dashboard 最新备份，原仓库删库前一天克隆的，包含绝大部分提交记录。
clash-freenode
订阅地址🚀 免费共享♻️ 定期更新✨ 科学上网🌈 请勿滥用🚫一键订阅📪SSR/CLASH/V2RAY
Collection-of-e-book-download-and-search-sites
电子书下载和搜索网站的合集
CS-Books-2
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
defend1234's Repositories
defend1234/blogtalk
comments
defend1234/CEAM-YOLOv7
CEAM-YOLOv7: Improved YOLOv7 Based on Channel Expansion and Attention Mechanism for Driver Distraction Behavior Detection
defend1234/chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
defend1234/clash-dashboard
clash-dashboard 最新备份，原仓库删库前一天克隆的，包含绝大部分提交记录。
defend1234/clash-freenode
订阅地址🚀 免费共享♻️ 定期更新✨ 科学上网🌈 请勿滥用🚫一键订阅📪SSR/CLASH/V2RAY
defend1234/CS-Books-2
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
defend1234/DevWeekly
每周五发布，精选优质开发者内容，包括开源项目、工具资源、技术文章等方面。
defend1234/godot
Godot Engine – Multi-platform 2D and 3D game engine
defend1234/hello-world
OK
defend1234/JSON2YOLO
Convert JSON annotations into YOLO format.
defend1234/notes
札记
defend1234/Open-Sora-Plan
This project aim to reproducing Sora (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project.
defend1234/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
defend1234/DAMO-YOLO
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
defend1234/docker-ubuntu-vnc-desktop
A Docker image to provide web VNC interface to access Ubuntu LXDE/LxQT desktop environment.
defend1234/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
defend1234/kalibr_biaoding
The Kalibr visual-inertial calibration toolbox
defend1234/ljp_machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
defend1234/MS-DOS
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
defend1234/pdf
📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍，包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。
defend1234/programming-learning-examples
Curated list of code examples to trace my happy programming learning journey :)
defend1234/ShiArthur03
学术造假，引以为戒
defend1234/slambook2
edition 2 of the slambook
defend1234/SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
defend1234/SOLO_improvement
Enhancements to the SOLO Instance Segmentation Framework: This repository contains modifications to the original SOLO framework, introducing a centerness prediction branch and a mask quality constraint. The project aims to refine instance detection accuracy and mask quality.
defend1234/SSV2RayTrojanSSRClash
科学上网，ss, ssr, v2ray, trojan, clash, clashr，翻墙机场推荐
defend1234/standard-readme
A standard style for README files
defend1234/yoloair
🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
defend1234/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
defend1234/yolov5_dual_weighting
Inspired by Shuai Li et al. in CVPR 2022 (doi: https://doi.org/10.48550/arXiv.2203.09730), I tried to revise the official yolov5 project (https://github.com/ultralytics/yolov5) to apply a training strategy of dual weighting label assignment for exploring performance.