A general network consists of two or more computers that are linked to share resources. All computers use IP Addresses to communicate with other devices. The operating system consists of various built-in, command-line networking utilities that are used for network troubleshooting. Network scanner is also used for diagnostic and investigative purposes to find and categorize what devices are running on a network. Some of the best-curated libraries to achieve this are curated below.
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
Python 13461 Version:5.14.0 License: Permissive (MIT)
A linux system information web dashboard using psutils and flask
Python 2343 Version:v0.6.2 License: Permissive (CC0-1.0)
TinyCheck allows you to easily capture network communications from a smartphone or any device which can be associated to a Wi-Fi access point in order to quickly analyze them. This can be used to check if any suspect or malicious communication is outgoing from a smartphone, by using heuristics or specific Indicators of Compromise (IoCs). In order to make it working, you need a computer with a Debian-like operating system and two Wi-Fi interfaces. The best choice is to use a Raspberry Pi (2+) a Wi-Fi dongle and a small touch screen. This tiny configuration (for less than $50) allows you to tap any Wi-Fi device, anywhere.
Python 2784 Version:v0.7-test License: Permissive (Apache-2.0)
PyTorch implementation of SENet
Python 2112 Version:archive License: Permissive (MIT)
Convolutional neural network model for video classification trained on the Kinetics dataset.
Python 1638 Version:Current License: Permissive (Apache-2.0)
A python library for visualizing Artificial Neural Networks (ANN)
Python 1204 Version:Current License: Permissive (MIT)
:factory: Collaboratively build, visualize, and design neural nets in browser
Python 1105 Version:Current License: Strong Copyleft (GPL-3.0)
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Python 1405 Version:Current License: Permissive (MIT)
the Network Protocol Fuzzer that we will want to use.
Python 612 Version:Current License: Strong Copyleft (GPL-2.0)
🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
Python 141 Version:Current License: Permissive (MIT)
Turns the abstract model of a WSN into a fully working network model.
Python 0 Version:1.0.1 License: Permissive (MIT License)