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This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg

  • combinatorial-optimization
  • community-detection
  • dynamic-graphs
  • edge-orientation

YOLOv5 - most advanced vision AI model for object detection. Natively implemented in PyTorch and exportable to TFLite for use in edge solutions.

Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.

Sigma Queries turned into KQL for Defender using pysigma - Automated

  • detection-engineering
  • kql
  • microsoftsentinel
  • mitre-attack

Implementation of the packing detection heuristic from the paper "Packed PE File Detection for Malware Forensics" of Han et al.

  • binary-analysis
  • entropy
  • entrypoint
  • executable-packing

Micropython Library for the MAX31865 resistance-to-digital converter optimized for platinum resistance temperature detectors (RTDs).