A swiss army knife for pentesting networks
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Updated
Feb 21, 2023 - Python
A swiss army knife for pentesting networks
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
A collection of more than 170+ tools, scripts, cheatsheets and other loots that I've developed over years for Red Teaming/Pentesting/IT Security audits purposes.
Interactive and configurable graphs with react and d3 effortlessly
simple TCP server / client C++ linux socket
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Python package for graph statistics
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
A network management interface for global multisite administrators
A visualisation tool for the creation and analysis of graphs
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Tutorials for Machine Learning on Graphs
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
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