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Defensive layer for mlx / mlx-lm / mlx-vlm on Apple Silicon. Prevents IOGPUFamily kernel panics, SIGABRT, and Mac reboots from MLX inference. Includes a community-curated registry of known-panic models (KNOWN_PANIC_MODELS) with hardware contexts, root-cause hypotheses, and verified workarounds.
Ce projet met en œuvre des techniques de cryptanalyse, des heuristiques d'identification sophistiquées et une architecture logicielle robuste pour résoudre des missions de déchiffrement complexes.
"A robust Python CLI Task Manager focused on data integrity, featuring automated error correction, temporal search categorization, and a modular logic-driven architecture."
Shellens is an advanced static analysis linter and architectural guardrail for Bash and POSIX shell scripts. Shellens goes beyond syntax to enforce defensive programming, eliminate cross-file dead code, limit complexity, and ensure strict styling. Perfect for CI/CD pipelines and AI coding assistants to keep scripts maintainable and robust.
Python script is designed to detect suspicious processes related to active Meterpreter shells on your system and optionally terminate them automatically.
Particle Swarm Optimization implementation demonstrating proper software engineering practices. Built as a consistent extension of the Softpy library using inheritance from the library's abstract base classes and factory pattern implementation. Features object-oriented design, comprehensive validation,and testing on benchmark optimization functions
Volunteer kata for the Christmas Holidays. Introduction to the OOP programming paradigm. You have to follow a DDD process and the interpretation of an UML diagram that finally will make a transition to the OOP paradigm followed by a TDD process.
Volunteer kata for the Christmas Holidays. Introduction to the OOP programming paradigm. You have to follow a DDD process and the interpretation of an UML diagram that finally will make a transition to the OOP paradigm followed by a TDD process.
🌱 A resilient data engineering pipeline built in Python 3.10+ to monitor smart agriculture systems, handle sensor failures, and manage custom exceptions.
Volunteer kata for the Christmas Holidays. Introduction to the OOP programming paradigm. You have to follow a DDD process and the interpretation of an UML diagram that finally will make a transition to the OOP paradigm followed by a TDD process.