@awesomeopensource · Post #147 · 07/25/2018, 02:38 PM
dvc 为机器学习实验设计的版本控制,可以兼容任何git存储库。用于管理实验数据和代码,可以重现实验过程和结果。(视频很有意思) Tags:#machinelearning#versioncontrol#tools Languages:#python
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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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@awesomeopensource · Post #147 · 07/25/2018, 02:38 PM
dvc 为机器学习实验设计的版本控制,可以兼容任何git存储库。用于管理实验数据和代码,可以重现实验过程和结果。(视频很有意思) Tags:#machinelearning#versioncontrol#tools Languages:#python