MessageInABottle
@mib_messageinabottle · Post #7052 · 11.06.2024 г., 13:45
The #MRNA "#vaccine" was never a real vaccine but a #BioWeapon meant to #attack your #immune system
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Изворен канал @pythonotes · Post #310 · 22 фев.
Сегодня будет самый "двоичный" ("двойковый"? "двушный"? "двойственный"?) момент на вашем веку 🤩 Больше двоек в дататайме вы не застанете! Успейте поймать момент! Будете показывать эпичный скриншот своим внукам))) 🥸 Для продуманных (ленивых): код на скрине, который сработает только сегодня и только 1 раз! ⏱ Открывайте окошки с часами и вперёд! #offtop
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GitHub Trends
@githubtrending · Post #15242 · 23.10.2025 г., 12:30
#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