Network Libraries

269 Components & Libraries

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Network Libraries

Automated Penetration Testing Framework - Open-Source Vulnerability Scanner - Vulnerability Management

StellarGraph - Machine Learning on Graphs

Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can…

Carefully curated resource links for data science in one place

A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Then, define the BigDL model using Keras-style API:

Like nmap for mapping wifi networks you're not connected to, plus device tracking

Like nmap for mapping wifi networks you're not connected to. Maps and tracks wifi networks and devices through raw 802.11 monitoring. trackerjacker can help with the following: Find detailed usage li…

A list of resources in different fields of Computer Science

Web Scraping Framework

I myself have not used Grab for many years. I am not sure it is being used by anybody at present time. Nonetheless I decided to refactor the project, just for fun. I have annotated whole code base wi…

An enterprise social network

An enterprise oriented social network The project has four basic apps: To run the tests, check your test coverage, and generate a simplified coverage report: To generate an HTML report: To check the …

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

This repository contains all the code, notebooks and examples used in this book. We will also be adding bonus content here from time to time. So keep watching this space! Master the essential skills …

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

In detail, the following community detection and embedding methods were implemented. Karate Club can be installed with the following pip command. As we create new releases frequently, upgrading the p…

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models! The concept of AI-Blocs is to have a simple scene with draggable objects that have scripts attached to…

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Install PyGAD with the following command: The source code of the PyGAD' modules is found in the following GitHub projects: The next code implements all the callback functions to trace the execution o…

Hack the World using Termux

all that on Termux {1}-Payload Generator {2}- Merasploit-Framework installation {3} Beef-Framework installation {4} NGROK installation {6} WEB-HACKS {7} PASSWORD CRACK {8} Starting your web server

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

Platform for building access networks and modular network services

Magma is an open-source software platform that gives network operators an open, flexible and extendable mobile core network solution. Magma enables better connectivity by: The figure below shows the …

:snowflake: PcapXray - A Network Forensics Tool - To visualize a Packet Capture offline as a Network Diagram including device identification, highlight important communication and file extraction

Wiki has more help too. Given a Pcap File, plot a network diagram displaying hosts in the network, network traffic, highlight important traffic and Tor traffic as well as potential malicious traffic …

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Example ”roadmaps” shown below provide suggest…

Tool that monitors, analyzes and limits the bandwidth of devices on the local network without administrative access.

Possibly missing python packages will be installed during the installation process.

Multi-class confusion matrix library in Python

Fig1. ConfusionMatrix Block Diagram After that, two scores are calculated for each confusion matrices, overall and class-based. The overall score is the average of the score of seven overall benchmar…

Deep Learning Toolkit for Medical Image Analysis

If you use DLTK in your work please refer to this citation for the current version: Setup a virtual environment and activate it. Although DLTK<=0.2.1 supports and python 2.7, we will not support i…

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

If you've finished the amazing introductory Machine Learning on Coursera by Prof. Andrew Ng, you probably got familiar with Octave/Matlab programming. With this repo, you can re-implement them in Pyt…

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

This is a Python toolbox that implements the training and testing of the approach described in our papers: This code implements: In order to run this toolbox you will need: For detailed explanation o…

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have with each other all the time. Nowadays personalization is something that…

A Python library to utilize AWS API Gateway's large IP pool as a proxy to generate pseudo-infinite IPs for web scraping and brute forcing.

A Python library to utilize AWS API Gateway's large IP pool as a proxy to generate pseudo-infinite IPs for web scraping and brute forcing. This library will allow the user to bypass IP-based rate-lim…

Python interface for igraph

igraph is a library for creating and manipulating graphs. It is intended to be as powerful (ie. fast) as possible to enable the analysis of large graphs. This repository contains the source code to t…

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Codes in NLP, Deep Learning, Reinforcement Learning and Artificial Intelligence I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep L…