JingyiWang92

JingyiWang92's Stars

• danieltan07/dagmm

  My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

  Language:Jupyter Notebook390106

• lixiangwang/DAGMM-pytorch

  Language:Python6813

• JingyiWang92/Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network

  Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.

  Language:Python2

• raghavchalapathy/Deep-Learning-for-Anomaly-Detection-A-Survey

  This paper is continuously updated with deep anomaly detection methods and their applications

  Language:TeX10323

• hymoe/hymoe.github.io

  Hymoe's Blog

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• 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

  175k50.8k

• 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:Java98.8k13.1k

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python90.5k9.6k

• afatcoder/LeetcodeTop

  汇总各大互联网公司容易考察的高频leetcode题🔥

  18.6k2.7k

• erhwenkuo/deep-learning-with-keras-notebooks

  Jupyter notebooks for using & learning Keras

  Language:Jupyter Notebook2.2k687

• Razzaghnoori/mt_biGRU_attention_keras

  Language:Python154

• mpk001/Sentiment_analysis

  使用深度学习方法对IMDB电影评价做情感分析，使用的方法分别为：MLP、BiRNN、BiGRU+Attention Model

  Language:Python21985

• FlamingJay/Hierarchical-Attention-Model-for-Intrusion-Detection

  We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the application of Attention in NLP.

  Language:Python123

• FlamingJay/Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network

  Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.

  Language:Python6419

• hymoe/Intrusion-Detection-on-NSL-KDD

  Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed using Keras, the deep learning model uses GRU / MLP.

  Language:HTML2710

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.7k12.7k

• omerbsezer/LSTM_RNN_Tutorials_with_Demo

  LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

  Language:Python682292

• sadeepj/crfasrnn_keras

  CRF-RNN Keras/Tensorflow version

  Language:Python603170

• fchollet/deep-learning-models

  Keras code and weights files for popular deep learning models.

  Language:Python7.3k2.5k

• Zzh-tju/DIoU-darknet

  Distance-IoU Loss into YOLO v3

  Language:Jupyter Notebook31485

• strib/scigen

  An automatic paper generator

  Language:TeX1.1k255

• tamimmirza/Intrusion-Detection-System-using-Deep-Learning

  VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

  Language:Jupyter Notebook13456

• chenryn/aiops-handbook

  Collection of slides, repositories, papers about AIOps

  1.3k277

• CristianTuretta/DDoS-Network-Flow-Forensics-Analyser-

  We are developing a tool for analyse recorded network traffic in order to detect and investigate about IP source address which may had contribute in a DDoS UDP flood attack. This tool also generates sample pcap datasets.

  Language:Python102

• echowei/DeepTraffic

  Deep Learning models for network traffic classification

  Language:Python664299

• yungshenglu/USTC-TK2016

  Toolkit for processing PCAP file and transform into image of MNIST dataset

  Language:Python20262

• HatBoy/Pcap-Analyzer

  Python编写的可视化的离线数据包分析器

  Language:Python998370

• DanMcInerney/net-creds

  Sniffs sensitive data from interface or pcap

  Language:Python1.7k436

• NagabhushanS/Machine-Learning-Based-Botnet-Detection

  Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.

  Language:Python6736

• AI-IDS/kdd99_feature_extractor

  Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file

  Language:C++11850