JackKu0

JackKu0's Stars

• NTMC-Community/MatchZoo

  Facilitating the design, comparison and sharing of deep text matching models.

  Language:Python3.8k898

• yangjianxin1/Firefly

  Firefly: 大模型训练工具，支持训练Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

  Language:Python5.2k470

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python9.5k737

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook33.8k3.5k

• eastmountyxz/AI-Security-Paper

  This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sample detection, and APT overview. Hope these summarized papers are helpful to you~

  19126

• integeruser/CASIA-HWDB1.1-cnn

  Convolutional neural networks with Python 3 and Keras

  Language:Python9930

• voyagerhui/WriterIdentification

  Writer identification based on CASIA-HWDB1.1

  Language:Python6

• Albertsr/Anomaly-Detection

  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

  Language:Python27386

• OWASP/SecureTea-Project

  The OWASP SecureTea Project provides a one-stop security solution for various devices (personal computers / servers / IoT devices)

  Language:JavaScript285141

• Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

  Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

  Language:Jupyter Notebook36292

• teler-sh/teler

  Real-time HTTP Intrusion Detection

  Language:Go3k247

• girgismicheal/Network-Intrusion-Detection-using-DeepLearning

  Language:Jupyter Notebook51

• mansipatel2508/Network-Intrusion-Detection-with-Feature-Extraction-ML

  The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

  Language:Jupyter Notebook10

• FrazHackz/Network-Intrusion-Detection-System-Deep-Learning

  Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)

  Language:Jupyter Notebook111

• Chandrahas-Soman/Simple_IDS_using_RYU_SDN_controller_and_Machine_Learning

  Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.

  Language:Python2010

• Rocionightwater/ML-NIDS-for-SCADA

  In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concrete industrial used case scenario.

  Language:Python6538

• racsa-lab/Edge-Detect

  Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".

  Language:Python4110

• sampathv95/Network-Intrusion-Detection

  Autoencoder approach to detect attacks/intrusions in a network

  Language:Jupyter Notebook84

• munhouiani/LuNet

  Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection

  Language:Python506

• Tanmengxuan/ANID

  Attention Model for Network Intrusion Detection

  Language:Jupyter Notebook164

• Shaik-Sohail-72/Network-Intrusion-Detection-Using-Deep-Learning

  Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.

  Language:EJS2310

• dendyikbc/kdd99-cnn-1

  Intrusion Detection Based on Convolutional Neural Network with kdd99 data set

  Language:Python5213

• sayanbanerjee992/Network-based-Intrusion-Detection-System

  The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1903.02460.pdf research paper. I have performed both binary and multi-class classification to predict the presence of any intrusion-based signal. If present, then which type of signal is present in the network. I have used various techniques like under sampling and over sampling because of the imbalances in the dataset, then train the model using Machine Learning techniques like Logistic Regression, Random Forest, XGBoost. Lastly built a web application and deploy it to AWS using AWS EC2 instance

  Language:Jupyter Notebook194

• TGyAlDeen/IDS-UNSW-NB15

  IoT intrusion Detection Model based on neural network and random forests

  Language:Jupyter Notebook4419

• Battlingboy/AE-IDS

  Network Intrusion Detection System(Abnormal Detection)

  Language:Python106

• Jumabek/net_intrusion_detection

  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution

  Language:Jupyter Notebook3414

• AFAgarap/gru-svm

  [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

  Language:Python14939

• pthevenet/Simple-NIDS

  Simple Network Intrusion Detection System. In python with Scapy.

  Language:Python3413

• manojkumar-github/Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRU

  An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach

  Language:Jupyter Notebook3014

• TheAxeC/machine-learning-techniques-for-flow-based-network-intrusion-detection-systems

  My Bachelor thesis for the Bachelor Computer Science (2015-2016) at UHasselt: An Intrusion detection system using machine learning approaches [Finished]

  Language:TeX4010