Will_Chen's repositories
3D-Registration-with-Maximal-Cliques
Source code of CVPR 2023 paper
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Anomaly-Detection-for-Network-Traffic-Using-Machine-Learning
MSc Artificial Intelligence Final Project
AutomaticOnlineAnswer
全国人社窗口单位业务技能——在线自动答题~基于PysimpleGUI实现☝️☝️☝️内置独家题库，无需自己下载，目前已实现自动「日日学」，「周周练」☄️ 请下载最新的release：https://github.com/ExcaliburEX/AutomaticOnlineAnswer/releases)
blockchain_conference_paper
The existing blockchain-related academic papers. All papers are sorted according to the conference and published year. Welcome developers or researchers to add more published papers to this list.
BotNet-Detection-ML
A Machine Learning based tool for identifying P2P (Peer To Peer) Bot-Nets using network traffic analysis, as well as detect the hosts involved in P2P traffic.
DDoS2Vec
Flow-Level Characterisation of Volumetric DDoS Attacks at Scale
DyGCN
基于动态图神经网络的异常流量检测方法
flowcontainer
从pcap获取流的基本信息工具
Graph-Based-Network-Anomaly-Detection
A graph based model to detect anomalies (typically attacks) in pcap network packets captured using Wireshark
GraphKan_chen
Implementation of GraphKan with torch geometrics and its application on signal classification
heiFIP
heiFIP: A tool to convert network traffic into images for ML use cases
Kitsune-py
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
LSTM-Based-Malicious-Traffic-Detection
project focuses on leveraging Long Short-Term Memory (LSTM) neural networks for the identification and mitigation of malicious network traffic.
LSTM-SPLSTM
Unveiling the Future: A Comparative Analysis of LSTM and SP-LSTM for Network Traffic Prediction in 6G Networks
mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Multi-level-botnet-detection
This PhD thesis should optimize the botnet detection through each phase of the botnet using multiple methods and techniques. In addition, the detection will be tested in case studies after the implementation is completed.
netcap
A framework for secure and scalable network traffic analysis - https://netcap.io
NIDSDatasetCreation
The Network Intrusion Detection System (NIDS) Dataset Creation framework is designed to generate labeled PCAP files that that can be used to create datasets for assessment of intrusion detection systems.
numpy-ml
Machine learning, in numpy
pcapAE
convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.
Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
PySyft
Perform data science on data that remains in someone else's server
transferability
Transfer Learning for Network Traffic Anomaly Detection using Centralized ML