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SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
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Scout Monitoring
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I was searching reddit earlier, for certain machine learning topics, and I came across a topic which looks like a showcase. By following the links leading to the repo, I found some .pyx and .pxd hybrid modules. I was always skeptical about taking the trouble of writing modules in this weird syntax, expecting promising performance gains. By searching cython projects on github, I found many others. It looks like some people found it interesting to adopt in their projects. What can you consider as valid use case(s) for cython? I mean if you're really that worried about performance, which you can't get using python, wouldn't it be wiser to use optimized C/C++ with possibly a python API?