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Programs to identify link communities in complex networks
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
history for netstat
The ScrambleSuit traffic obfuscation protocol.
- censorship-circumvention
- python
- tor
- encryption
Digit recognition with neural network
Analyzer to inspect network packets generated by the SMPTE ST 2110 specification.
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
- adversarial-attacks
- graph-convolutional-networks
- graph-neural-networks
- pytorch
Suricata Language Server is an implementation of the Language Server Protocol for Suricata signatures. It adds syntax check, hints and auto-completion to your preferred editor once it is configured.
Potiron - Normalize, Index and Visualize Network Capture
- tshark
- network-capture
- graph
- pcap
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
- text-classification
- sentiment-analysis
- hierarchical-attention-networks
- document-classification
Airut is a system for running Claude Code tasks from email and Slack. It handles workspace provisioning, container isolation, network sandboxing, session persistence, and cleanup — a secure foundation for autonomous agentic development.
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
- beginner-friendly
- beginner-project
- deep-learning
- deep-neural-networks
analyze a web-based network traffic 🕶 to detect central command and control servers
- squid
- network-traffic
- proxy-server
- incident-response
A Tensorfflow implementation of Attend, Infer, Repeat
- tensorflow
- vae
- neural-networks
- attention-mechanism
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.
- ai-agents
- document-processing
- dspy
- entity-extraction
A simple network configuration utility for MicroPython on the ESP-8266 board
Fragscapy is a command-line tool to fuzz network protocols by automating the modification of outgoing network packets. It can run multiple successive tests to determine which options can be used to evade firewalls and IDS.
Unsupervised Image to Image Translation with Generative Adversarial Networks
- tensorflow
- tensorlayer
- deep-learning
- image-to-image
This project is designed to create deceptive webpages to deceive and redirect attackers away from real websites.
- deceptive-webpages
- web-cloner
- honeypot
- deception
The Security Analyst’s Guide to Suricata
Datalogger for MicroPython and CPython.
- micropython
- datalogger
- esp32
- mqtt
Speed up your Neural Network with Theano and the GPU