『怀旧小屋』
@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 #15239 · Oct 21
#python#artificial_intelligence#cloud_ml#computer_systems#courseware#deep_learning#edge_machine_learning#embedded_ml#machine_learning#machine_learning_systems#mobile_ml#textbook#tinyml You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering. https://github.com/harvard-edge/cs249r_book
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djangoproject
@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
『怀旧小屋』
@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
@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