ViewFuture

ETC_CNN

Encrypted traffic classification use CNN

generalised-signature-method

Code for: "A Generalised Signature Method for Time Series"

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

conv_snn

Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

embedding_with_signatures

Encrypted-Traffic-classification

FlowPic

T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2021.3071441.

Internet-Traffic-Classification-1

Classifying internet traffic using CNN

MDN-SNN

Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks

Network-Traffic-Classification-1

Network-Traffic-Classification-7

Deep Learning model for analysis and identify the application for given Teletraffic pattern. 1D convolution and FFN models using for this task

Network_Traffic_Classification-3

networkTrafficClassification

Adversarial machine learning for network traffic classification of Browser, Operation-System and Application

norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

nsl_kdd_classification

Cyber-attack classification in the network traffic database using NSL-KDD dataset

PatentPublicData

Utility tools to help download and parse patent data made available to the public

PrivPkt

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Recurrent-Autoencoder

Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection

seq2tens

Seq2Tens: An efficient representation of sequences by low-rank tensor projections

Sig-logSig-FBSDE

siml

Machine Learning algorithms implemented from scratch

SNN-Experiments

Some of my initial studies using spiking neural networks and Python

ST-RSBP

Traffic-Classification-1

Traffic-Data-Classification-Project

This is Machine Learning model based on supervised learning algorithms and traffic data has been collected from Twitter streaming API.