Showing 1601-1620 of 2,040 projects
This repo collects examples of intentional and unintentional hacks of media sources.
A very small, palmtop-sized vector network analyzer firmware for embedded systems.
A Docker-based tool to monitor your network and internet speed using Prometheus and Docker
A Jupyter Notebook project for detecting text in natural images using the Connectionist Text Proposal Network (CTPN) algorithm.
Sokit is a TCP & UDP package send / receive / transfer tool for developers who need a low-level networking utility.
A Python library that creates SSH tunnels to remote servers, enabling secure network access.
A curated collection of resources on applying Transformers to medical imaging tasks like segmentation, classification, and synthesis.
This repository appears to be a security research project related to 802.11 wireless network vulnerabilities, not a developer tool for vibe coders.
A set of cross-platform C++ libraries for building applications with core functionality, GUI, networking, and multimedia support.
Captfencoder is an open-source suite of network security tools, including crypto, hashing, and security utilities.
ehco is a network relay tool that can be used as a reverse proxy or a load balancer.
A React component library for detecting online and offline network status.
A collection of Caffe models and deployment files for popular machine learning networks like classification, detection, and segmentation.
A simple PyTorch implementation of Generative Adversarial Networks for generating anime-style faces.
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
A web proxy service that helps developers bypass network filters and access blocked websites securely and privately.
A new padding scheme for convolutional neural networks using partial convolution-based padding.
Convolutional neural network for analyzing pentest screenshots, useful for security researchers and penetration testers.
A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.
Exploring the capabilities of Graph Neural Networks (GNNs) with Python
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