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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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Machinelearning

@ai_machinelearning_big_data · Post #9075 · 11/25/2025, 05:34 PM

⚡️ Релиз Flux 2 Модель получила значительный апгрейд . Теперь она учитывает до десяти референсов сразу, лучше понимает свет, материалы и оптику, аккуратнее рендерит текст и выдаёт качество до 4k. Генерации выглядят ровнее и реалистичнее, без пластикового блеска. Можно генерировать, редактировать и совмещать изображения. Веса открытые, так что при желании можно запускать локально (65 ГБ). 🟠Demo: https://playground.bfl.ai/image/generate 🟠Weights: https://huggingface.co/black-forest-labs 🟠HF: https://huggingface.co/black-forest-labs/FLUX.2-dev @ai_machinelearning_big_data #AI#Flux2#ImageGeneration#AIGraphics