@PainlessDestiny · Post #2587 · 02/10/2025, 04:07 AM
#相册3.8.2.11 #Bokeh 2.0.19.0.0 解锁文档编辑(包含去屏纹、曲面矫正和笔迹消除) 解锁提取表格(需要小爱视觉/AI扫描)
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Source channel @githubtrending · Post #15316 · Dec 7
#lua OTClient Redemption is a flexible and complete alternative client for the game Tibia, designed to work with OTServ servers. It uses LUA scripting and CSS-like syntax for easy customization of the game interface, allowing you to create new mods and extend features. Written in modern C++20, it supports advanced graphics, sound, multi-language, and mobile platforms through OpenGL. It offers many features like shaders, animated textures, transparency, and an in-game LUA terminal. This client improves performance with multi-threading and garbage collection, and adapts smoothly to server latency for better gameplay. You benefit by having a customizable, high-performance client that enhances your Tibia experience and supports modding and mobile use. https://github.com/mehah/otclient
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@PainlessDestiny · Post #2587 · 02/10/2025, 04:07 AM
#相册3.8.2.11 #Bokeh 2.0.19.0.0 解锁文档编辑(包含去屏纹、曲面矫正和笔迹消除) 解锁提取表格(需要小爱视觉/AI扫描)
@djangoproject · Post #468 · 10/16/2017, 08:30 AM
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf Python For #Data_Science Cheat Sheet The Python interactive visualization library #Bokeh enables high-performance visual presentation of large datasets in modern #web browsers.
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@ThemesM8 · Post #85 · 07/20/2021, 04:48 PM
https://t.me/addtheme/pfsIJiYasr0juhEB 🌈@ThemesM8✨ #dark#purple#blue#android#desktop#oled#amoled#night#bokeh
@PainlessDestiny · Post #2611 · 02/28/2025, 01:30 PM
#小米相册#相册#小米相册编辑 #小米澎湃AI引擎#文件管理#Bokeh 来自小米15Ultra的App们 不建议在MIUI或者HyperOS上用 不接收来自MIUI/HyperOS/低于安卓14的反馈 相册和文件管理在高分辨率的屏幕上显示异常,暂时不知道怎么修 对于小米相册: 功能应该是解锁全了 对于小米相册编辑: 水印还是和之前一样,你想要正常的显示,可以手动改照片的EXIF 如果你发现你拍的照片点不进画框,但是截图可以,建议你打开EXIF随便改一个数字他就可以点进画框了,暂时还不知道是咋回事 部分AI功能可能失效(因为小米服务器Boom了) 其他的功能也基本解锁全了 对于文件管理: 没啥说的,就是移植包 小米澎湃引擎和Bokeh是相关组件,建议安装
@djangoproject · Post #352 · 06/25/2017, 08:57 AM
https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh