Check Network Details

Deepfakes Software For All

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

A linux system information web dashboard using psutils and flask

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.

The BGP swiss army knife of networking

PyTorch implementation of SENet

Convolutional neural network model for video classification trained on the Kinetics dataset.

Super S3 command line tool

A python library for visualizing Artificial Neural Networks (ANN)

:factory: Collaboratively build, visualize, and design neural nets in browser

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

the Network Protocol Fuzzer that we will want to use.

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

Turns the abstract model of a WSN into a fully working network model.