baojiaang's starred repositories
Siamese-Neural-Networks
Implementation of the Siamese Neural Networks in PyTorch using MNIST dataset
time-series-classification-and-clustering
Time series classification and clustering code written in Python.
QuickClusters
Simple time series clustering using Dynamic Time Warping and DBSCAN
DeepTemporalClustering
:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Load-forecasting-IEEE-TPWRS-2020
Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)
python-trafficgenerator
This tool can be used to generate real (fake) traffic on a specific website (domain).
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.
openstack-sflow-traffic-billing
Python sFlow collector capable of classifying flows and reporting traffic counters to ceilometer
USTC-TK2016
Toolkit for processing PCAP file and transform into image of MNIST dataset
network-traffic-analysis
基于流量数据的网络应用识别系统设计与实现