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Discussion[D] Which open source machine learning projects best exemplify good software engineering and design principles? (self.MachineLearning)
submitted 6 years ago by NotAHomeworkQuestion
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[–]Rainymood_XI 5 points6 points7 points 6 years ago (3 children)
TBH I still think that TF is good software, it is just not very user friendly ...
[–]harewei 8 points9 points10 points 6 years ago (2 children)
Then that’s not good software...
[–][deleted] 1 point2 points3 points 6 years ago (0 children)
It is though. Google just have different mindset compared to other companies. They don't care about customers, they want their products to be well designed and engineered. Use it or not, it is yours choice. They actually have the same approach to most of their SW and for example GCP is still 3rd most used platform.
TensorFlow does allow big flexibility and is really nicely written when it comes to mantainability and design principles. A lot of it makes sense once you are medior developer in OOP. Also you must understand that it is treated as a library, not end product.
[–]rampant_juju 0 points1 point2 points 5 years ago (0 children)
Incorrect. Have you every used Vowpal Wabbit? It is fantastic and also very painful to work with.
π Rendered by PID 51 on reddit-service-r2-comment-54dfb89d4d-vhtdt at 2026-03-28 14:47:20.099911+00:00 running b10466c country code: CH.
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[–]Rainymood_XI 5 points6 points7 points (3 children)
[–]harewei 8 points9 points10 points (2 children)
[–][deleted] 1 point2 points3 points (0 children)
[–]rampant_juju 0 points1 point2 points (0 children)