taylor-xy0827

taylor-xy0827's Stars

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript121k2.1k10514.9k

• Johnshall/Shadowrocket-ADBlock-Rules-Forever

  提供多款 Shadowrocket 规则，拥有强劲的广告过滤功能。每日 8 时重新构建规则。

  13.7k79313866

• moranzcw/Computer-Networking-A-Top-Down-Approach-NOTES

  《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

  Language:Python5.1k95151.2k

• PKUFlyingPig/Self-learning-Computer-Science

  the resources I use to learn computer science in my spare time

  3.8k525354

• josiahcarlson/redis-in-action

  Example code from the book

  Language:Python2.2k139461.2k

• ChirmyRam/ChirmyRam-OneDrive-Repository

  ChirmyRam OneDrive Repository

  1.6k1833122

• fungtion/DANN

  pytorch implementation of Domain-Adversarial Training of Neural Networks

  Language:Python8611019155

• youngyangyang04/kama-DesignPattern

  卡码网-23种设计模式精讲，每种设计模式都配套代码练习题，支持 Java，CPP，Python，Go🔥

  69435133

• TimorYang/Computer-Networking-Keith-Ross

  计算机网络 自顶向下方法 **科学技术大学

  65081165

• tomrunia/OpticalFlow_Visualization

  Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

  Language:Python42810657

• Celiashea/Women-Study-Abroad

  包含语言考试、选校定位、申请经验的留学知识库，一站式助力姊妹留学。欢迎姊妹们补充，集思广益，经验共享。This repository aims to empower women pursuing academic journeys overseas. It serves as a knowledge base covering language exams, school selection, application tips, and more. Please feel free to share any valuable resources or insights you may have.

  38473710

• vincenzobaz/Computer-Networks-Notes

  Notes based on the book "Computer Networking, a top down approach"

  35054167

• ycwkatie/OOD-Object-Oriented-Design

  Solutions for Object Oriented Design Problems

  3406295

• hubeiqiao/IELTS-Speaking-Simulator

  A GPT offers an authentic practice experience, helpful for anyone preparing for IELTS.

  2442823

• CSUcse/CSUthesis

  中南大学研究生学位论文LaTex模版（博士和硕士）

  Language:TeX17061538

• PKUFlyingPig/Computer-Network-A-Top-Down-Approach

  My learning materials for Computer Networking : A Top Down Approach

  Language:Python1674020

• dev-aritra/clean-code-developer-checklist

  A developer checklist derived from the book Clean Code by Robert C Martin

  1203444

• core-lib/pigeon

  跨平台远程方法接口调用框架, 致力于改善iOS/Android移动端与服务端API调用的各种繁琐问题, 屏蔽所有网络交互的技术细节, 让开发者只关心业务而不担心技术上的问题, 跨平台接口智能生成, 让你的API调用代码流畅一如书写本地方法调用. 提供目前网络数据传输的所有转换的接口和实现, 其中包括 序列化, 编码, 压缩, 校验, 加密, 签名 ...

  Language:Java11616272

• davidnvq/me_recognition

  CapsuleNet for Micro-expression Recognition (IEEE FG 2019)

  Language:Python10931528

• Vision-Intelligence-and-Robots-Group/awesome-micro-expression-recognition

  A Github repository about micro-expression recognition, micro-expression detection, and micro-expression analysis

  104304

• ZhengPeng7/motion_magnification_learning-based

  An unofficial implementation of "Learning-based Video Motion Magnification" in Pytorch.

  Language:Python10441324

• christy1206/STSTNet

  Shallow Triple Stream Three-dimensional CNN

  Language:Python5121117

• lsyer/CSU-Thesis-LaTeX-Template

  中南大学学位论文LaTeX模板

  Language:TeX491012

• tcvrick/dynamic-images-for-action-recognition

  A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.

  Language:Python383213

• ChristophReich1996/Optical-Flow-Visualization-PyTorch

  PyTorch implementation of the classical optical flow visualization by Baker et al. [ICCV 2007].

  Language:Python34303

• OceanSummerDay/HSTA_MER

  Hierarchical Space-Time Attention for Micro-Expression Recognition in PyTorch

  Language:Python11211

• himangshunits/WiresharkLabSolutions

  Solutions to the full series of Wireshark Lab Assignments for CS 570

  74

• Venus-Framework/pigeon

  大众点评---RPC framework of DIANPING

  Language:Java6284

• WangJingyao07/LightmanNet

  🌈 LightmanNet: Micro-Expression Recognition with Meta-Auxiliary Learning

  Language:Python533

• MonuVermaCV/LearNet

  LEARNet: Dynamic imaging network for micro expression recognition

  Language:Python1