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 #15417 · Jan 16
#shell OpenCode now supports Claude Max/Pro subscriptions through the `opencode-anthropic-auth` plugin, allowing you to use your Claude subscription with both Claude Code and OpenCode in your terminal. This integration works with Gentleman.Dots, a complete development environment configuration that includes Neovim with AI assistants, multiple shells (Fish, Zsh, Nushell), terminal multiplexers (Tmux, Zellij), and various terminal emulators. You can install it via Homebrew or direct download across macOS, Linux, and Android platforms. The setup includes an interactive TUI installer that automatically configures your preferred tools, plus a Vim Mastery Trainer for learning editor shortcuts through progressive lessons and boss fights. This gives you a fully integrated AI-powered coding environment optimized for terminal-based development workflows. https://github.com/Gentleman-Programming/Gentleman.Dots
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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