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 #14928 · Jul 8
#other#applications#coding#codingchallenges#css#hacktoberfest#html#ideas#javascript#practice You can improve your coding skills by using a collection of app ideas that are organized by difficulty levels: beginner, intermediate, and advanced. Each project comes with clear goals, user stories to guide development, optional bonus features to enhance learning, and helpful resources. This helps you practice daily, experiment with new technologies, and build a portfolio to impress employers or clients. The projects range from simple tools like calculators to complex apps like chat systems or game engines. This structured approach makes learning coding practical, fun, and effective, helping you grow as a developer step-by-step. https://github.com/florinpop17/app-ideas
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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