GitHubLiwenqi

GitHubLiwenqi's Stars

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  175k5.3k56550.8k

• GrowingGit/GitHub-Chinese-Top-Charts

  :cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

  Language:Java98.5k2.6k33713k

• Alvin9999/new-pac

  翻墙-科学上网、自由上网、免费科学上网、免费翻墙、油管youtube、fanqiang、软件、VPN、一键翻墙浏览器，vps一键搭建翻墙服务器脚本/教程，免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点，翻墙梯子，电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网、youtube视频下载、美区apple id共享账号

  54.3k1.5k1.6k9.3k

• electronicarts/CnC_Remastered_Collection

  Language:C++18.3k524994.7k

• microsoft/ai-edu

  AI education materials for Chinese students, teachers and IT professionals.

  Language:HTML13.5k4611372.9k

• huangz1990/redis-3.0-annotated

  带有详细注释的 Redis 3.0 代码（annotated Redis 3.0 source code）。

  Language:C9.8k585274.2k

• xingyizhou/CenterTrack

  Simultaneous object detection and tracking using center points.

  Language:Python2.4k52277525

• advboxes/AdvBox

  Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

  Language:Jupyter Notebook1.4k5638263

• facebookresearch/fairo

  A modular embodied agent architecture and platform for building embodied agents

  Language:Jupyter Notebook8433939587

• brupst/awesome-bupt-scs

  北京邮电大学计算机学院本科编程作业索引

  6785590

• echowei/DeepTraffic

  Deep Learning models for network traffic classification

  Language:Python6641825299

• HIT-SCIR/plm-nlp-code

  Language:Python6182022195

• muluoleiguo/interview

  linux C++ 服务器/后台开发 秋招整理资料

  Language:C++54121118

• irfanICMLL/CoupleGenerator

  Generate your lover with your photo

  Language:Python459171465

• duoergun0729/adversarial_examples

  对抗样本

  Language:Jupyter Notebook25856111

• zdzhaoyong/SummerCamp2018

  智能系统实验室-2018新人暑期培训计划

  Language:C++1617364

• WithHades/network_traffic_classification_paper

  收集了部分将机器学习应用于网络流量分类的论文

  1473025

• qa276390/Encrypted_Traffic_Classification

  using deep learning to classify the encrypted network traffic

  Language:Python1394726

• OUCTheoryGroup/colab_demo

  **海洋大学视觉实验室前沿理论小组 pytorch 学习

  Language:Jupyter Notebook1295130

• HIT-SCIR/LA-beginner

  Language:JavaScript591129

• niloofarbayat/NetworkClassification

  Language:Jupyter Notebook55409

• shrezaei/MultitaskTrafficClassification

  Multitask Learning Approach for Network Traffic Classification

  Language:Python502112

• sunblaze-ucb/transferability-advdnn-pub

  Public repo for transferability ICLR 2017 paper

  Language:Python4912215

• wmn7/Traffic-Classification

  Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]

  Language:Jupyter Notebook313812

• shrezaei/Semi-supervised-Learning-QUIC-

  Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"

  Language:Python2914

• guozhaotong/MeetingRecord

  一个记录实验室小组会议记录的网站

  Language:HTML18207

• amsadeghzadeh/AdversarialNetworkTraffic

  Language:Jupyter Notebook92

• tracykim/CppInterview

  C++开发 秋招面经 笔记整理

  51

• GitHubLiwenqi/CppInterview

  C++开发 秋招面经 笔记整理

  10

• GitHubLiwenqi/HITSZ-OpenCS

  哈尔滨工业大学（深圳）计算机专业课程攻略 | Guidance for courses in Department of Computer Science, Harbin Institute of Technology (Shenzhen)

  Language:C10