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I'm disappointed he isn't releasing the source for these or LibNC. We definitely need non-academic, non-Python machine learning implementations. Anyone know wha

• reubenmorais 6y ago
  TensorFlow and PyTorch fit the bill, their underlying implementations are C++/CUDA/hand-optimized kernels and the APIs are all reachable without Python. They're kind of monsters to deal with in terms of scale, speed of change, weird build systems in the case of TF, but the code is there.
  • tlack 6y ago
    Oh definitely true. And they have done a killer job of building out all the bells and whistles and making it all quite fast. But as someone interested in the guts, or understanding how to implement new types of systems, it can be quite overwhelming!
• MiroF 6y ago
  > I'm disappointed he isn't releasing the source for these or LibNC. Arithmetic coding with LM conditioned probability has been done before and it's not a particularly complex idea to implement, I don't think it is critical that the code be released. > We definitely need non-academic, non-Python machine learning implementations There are two things here: training and serving/inference. We already have non-Python implementations for the latter and I don't think we're in "definite" need of the former.