baojiaang

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

scapy

Scapy: the Python-based interactive packet manipulation program & library.

sktime

A unified framework for machine learning with time series

autogluon

Fast and Accurate ML in 3 Lines of Code

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pyshark

Python wrapper for tshark, allowing python packet parsing using wireshark dissectors

joy

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

transdim

Machine learning for transportation data imputation and prediction.

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

time-series-classification-and-clustering

Time series classification and clustering code written in Python.

nfdump

Netflow processing tools

ts2vec

A universal time series representation learning framework

mercury

Mercury: network metadata capture and analysis

DeepTemporalClustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

USTC-TK2016

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

nprint

nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques

DTCR

The paper "Learning Representations for Time Series Clustering"

FS-Net

Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”

Load-forecasting-IEEE-TPWRS-2020

Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)

Var-CNN

Code for the paper "Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning" (PETS 2019)

Siamese-Neural-Networks

Implementation of the Siamese Neural Networks in PyTorch using MNIST dataset

QuadNet

Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition (AAAI 2018)

Traffic-classifier-SDN

A system that could classify DNS, Telnet, Ping, Voice, Game, and Video traffic flows based on packet and byte information simulated by the Distributed Internet Traffic Generator (D-ITG) tool in an Software Defined Network (SDN) based network topology with Open vSwitch (OVS) using machine learning algorithms such as Logistic regression,K-Means clustering,K nearest neighbours, SVC, Gaussian NB and Random Forest Classifier.

python-trafficgenerator

This tool can be used to generate real (fake) traffic on a specific website (domain).

deepcoffea

openstack-sflow-traffic-billing

Python sFlow collector capable of classifying flows and reporting traffic counters to ceilometer

network-traffic-analysis

基于流量数据的网络应用识别系统设计与实现

TAN

Topological Attention for Time Series Forecasting

DLTC

Source code and data for our PoPETS 2022.3 paper "Trace Oddity: Methodologies for Data-Driven Traffic Analysis on Tor"

QuickClusters

Simple time series clustering using Dynamic Time Warping and DBSCAN