aryanphd Goto Github PK

intrusion-detection-systems

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

libp

Implementation of the least interferance beaconing paradigm for Contiki OS

lidl

loic

Low Orbit Ion Cannon - An open source network stress tool, written in C#. Based on Praetox's LOIC project. USE ON YOUR OWN RISK. WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES.

machine-learning-resources

This is a list of free resources to learn Machine Learning.

machine_learning_examples

A collection of machine learning examples and tutorials.

magpie

Monitoring AGainst cyber PhysIcal thrEats

mastering-machine-learning-algorithms-second-edition

Mastering Machine Learning Algorithms Second Edition, published by Packt

methodcomparisonsinpython

Friedman tests for comparing multiple methods across datasets in python

ml-agents

Unity Machine Learning Agents Toolkit

ml-ids

A machine learning based Intrusion Detection System

mlai

Machine Learning And Adaptive Intelligence Module

mlai-labs

mobile-multiplayer-action-game-in-unity

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

network_scenario_generator_v12.1

nids-intrusion-detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

node-red

Low-code programming for event-driven applications

ns-3-rpl

RPL test

peer-graded-assignment-r-markdown-and-leaflet

practical-ml-streaming-data-python

Source Code for 'Practical Machine Learning for Streaming Data with Python' by Sayan Putatunda

practical_rl

A course in reinforcement learning in the wild

predictive-maintenance

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

public-pcaps

pyswarms

A research toolkit for particle swarm optimization in Python

python-anomaly-detection

An object-oriented approach to implement anomaly detection in Python using semi-supervised learning

python-data-analysis-third-edition

Python Data Analysis, Third Edition, Published by Packt