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Source channel @githubtrending · Post #14731 · May 21

#cplusplus#high_performance#interior_point_method#linear_optimization#mixed_integer_programming#parallel#quadratic_programming#simplex HiGHS is a free, high-performance software that solves large and complex optimization problems like linear, quadratic, and mixed-integer programming. It works fast on many computers, including Linux, MacOS, and Windows, without needing extra software. You can use it through various programming languages like Python, C, C#, and Fortran, making it easy to integrate into your projects. HiGHS supports both serial and parallel computing, and it is advancing GPU acceleration for even faster solutions. This helps you efficiently find the best solutions for planning, scheduling, and decision-making problems in science, engineering, and business. Installation is straightforward, and detailed documentation is available to guide you[1][2][3][4]. https://github.com/ERGO-Code/HiGHS

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@githubtrending · Post #15487 · 02/12/2026, 12:30 PM

#typescript#ai#augmentation#humans#productivity PAI is open-source Personal AI Infrastructure that builds on tools like Claude Code to create your custom AI assistant. It learns your goals, preferences, and history from files like MISSION.md and GOALS.md, uses modular packs for skills like research or security, and improves via feedback in an Observe-Think-Plan-Execute-Learn loop. Install easily with git clone and a wizard for a full system in minutes. This magnifies your abilities, activates your potential, saves time on repetitive tasks, and makes elite AI accessible to everyone—not just experts—helping you achieve more with less effort. https://github.com/danielmiessler/Personal_AI_Infrastructure