star-lunar

star-lunar's Stars

• DayBreak-u/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

  Language:C++11.8k2.3k

• alisen39/TrWebOCR

  开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~

  Language:Python2.6k599

• akamaster/pytorch_resnet_cifar10

  Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

  Language:Python1.2k332

• shiyadong123/-VGG19-CIFAR10-

  使用pytorch，构建VGG19网络结构，对CIFAR10数据集进行分类

  Language:Jupyter Notebook187

• ChenDongyu-S/webserver

  Language:C++3

• linyacool/WebServer

  A C++ High Performance Web Server

  Language:C++7.8k2.1k

• sty945/bank_interview

  :bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

  5.3k627

• microsoft/calculator

  Windows Calculator: A simple yet powerful calculator that ships with Windows

  Language:C++29.8k5.4k

• Alinshans/MyTinySTL

  Achieve a tiny STL in C++11

  Language:C++11.5k3.3k

• SanYue1911/MyTinySTL

  此库仅是记录学习《源码剖析》所阅读理解的代码 原项目https://github.com/Alinshans/MyTinySTL

  Language:C++5913

• miloyip/json-tutorial

  从零开始的 JSON 库教程

  Language:C7.7k4.3k

• forthespada/InterviewGuide

  🔥🔥「InterviewGuide」是阿秀从校园->职场多年计算机自学过程的记录以及学弟学妹们计算机校招&秋招经验总结文章的汇总，包括但不限于C/C++ 、Golang、JavaScript、Vue、操作系统、数据结构、计算机网络、MySQL、Redis等学习总结，坚持学习，持续成长！

  5.4k1.5k

• rhyspang/CPP-Design-Patterns

  C++设计模式

  Language:C++238143

• DreamCats/java-notes

  自己的学习笔记。包含：个人秋招经历、🐂客面经问题按照频率总结、Java一系列知识、数据库、分布式、微服务、前端、技术面试、每日文章等(持续更新)

  Language:Java2.2k322

• Light-City/CPlusPlusThings

  C++那些事

  Language:C++39.6k8.6k

• geekcompany/ResumeSample

  Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板

  27.3k9k

• huihut/interview

  📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++34.9k8k

• hediet/vscode-drawio

  This unofficial extension integrates Draw.io (also known as diagrams.net) into VS Code.

  Language:TypeScript9.1k422

• sebgao/LIP

  Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)

  Language:Python22028

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.6k1.6k

• clovaai/AdamP

  AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

  Language:Python41352

• zhaohengyuan1/PAN

  (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.

  Language:Python31935

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.3k1.2k

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2.1k402

• iduta/pyconvsegnet

  Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

  Language:Python365

• csmliu/AdaDSR

  Deep Adaptive Inference Networks for Single Image Super-Resolution

  Language:Python9915

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4.1k708

• z-x-yang/GCT

  Gated Channel Transformation for Visual Recognition (CVPR 2020)

  Language:Python13426

• zdyshine/RTC2020_EfficientSR

  Language:Python9721

• njulj/RFDN

  Residual Feature Distillation Network for Lightweight Image Super-Resolution

  Language:Python36143