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norse

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

DeepADoTS

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

siml

Machine Learning algorithms implemented from scratch

Shell

Some of the handy shell scripts I have created/acquired

conv_snn

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

Deep-Signature-Transforms

Code for "Deep Signature Transforms" (NeurIPS 2019)

s2net

Supervised Spiking Network

pcap-splitter

Pcap-splitter allows you to split a pcap file into subsets of pcap files based on sessions, flows, ip addresses, number of bytes, number of network packets...

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.

generalised-signature-method

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

SNN-Experiments

Some of my initial studies using spiking neural networks and Python

Enabling_Spikebased_Backpropagation

Traffic-Classification

Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]

appscanner

Code and dataset for AppScanner

seq2tens

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

Recurrent-Autoencoder

Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection

Web-traffic-anomaly-detection-using-C-LSTM-neural-networks

This project aims to detect the anomalies in Web-Traffic using a C-LSTM architecture.

Network-Traffic-Classification

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

ST-RSBP

MDN-SNN

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

Neuromorphic-Digit-Classification

Simple Python simulation of a one-hidden-layer spiking neural network for digit classification on sklearn's "digits" dataset.

traffic-classification-ensemble-learning

Network traffic classification project using ensemble learning techniques

network-traffic-classification

Network_Traffic_Classification

Practical-Configurable-Network-Traffic-Classification

Code for INDIS 2020 paper

SLR_NetworkTrafficClassification

Results of SLR (May 2019)

networkTrafficClassification

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

InternetTrafficClassification

Internet traffic classification tool developed for course computer networks (CS307)

Internet-Traffic-Classification

Classifying internet traffic using CNN

Practical-Configurable-Network-Traffic-Classification

Code for INDIS 2020 paper