MessageInABottle
@mib_messageinabottle · Post #7052 · 06/11/2024, 01:45 PM
The #MRNA "#vaccine" was never a real vaccine but a #BioWeapon meant to #attack your #immune system
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Source channel @githubtrending · Post #15024 · Aug 2
#java#adversary_emulation#adversary_exposure_validation#aev#attack_simulation#breach_simulator#cybersecurity#purple_team OpenBAS is a free, open-source platform that helps you plan and run cyberattack simulations to find security weaknesses in your organization. It supports teamwork, real-time monitoring, and detailed feedback, letting you test defenses against real-world threats using up-to-date intelligence from OpenCTI. You can simulate attacks through emails, SMS, social media, and more, making your training realistic and comprehensive. OpenBAS offers both a Community Edition and a more advanced Enterprise Edition. It’s easy to install with Docker or manually, and you can try it online before using it. This helps you improve your cybersecurity by practicing and identifying gaps before real attacks happen. https://github.com/OpenBAS-Platform/openbas
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@githubtrending · Post #15242 · 10/23/2025, 12:30 PM
#python#ant_colony_algorithm#artificial_intelligence#fish_swarms#genetic_algorithm#heuristic_algorithms#immune#immune_algorithm#optimization#particle_swarm_optimization#pso#simulated_annealing#travelling_salesman_problem#tsp You can use scikit-opt, a Python library offering many heuristic optimization algorithms like Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony, Immune Algorithm, and Artificial Fish Swarm Algorithm. It supports user-defined functions to customize operators, allows continuing runs from previous iterations, and accelerates computations via vectorization, multithreading, multiprocessing, and caching. GPU support is in development. It helps solve complex optimization problems such as function minimization and the Traveling Salesman Problem efficiently, with easy installation and rich examples. This saves you time and effort in implementing and tuning optimization algorithms yourself. https://github.com/guofei9987/scikit-opt