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Machine Learning in Clojure reminds me of Yann LeCun’s ML course from 2010, where we used an adorable language called Lush:

http://lush.sourceforge.net/

which I suppose can best be described as Lisp and Python having a baby. It was immense fun to code neural networks from scratch in it. I hope Clojure can find a bigger place in the world of ML.

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In those days there was a lovely LuaJIT based tensor manipulation language torch7 [1,2] developed by Leon Bottou. It later became basis for PyTorch. I still believe that Lua in general and LuaJIT in particular are much superior to Python for Deep Learning.

[1] http://torch.ch/

[2] https://github.com/torch/torch7

Another student of LeCun from NYU here. Can attest that lush is adorable. For example:

For high performing parts of your code, a subset of lush would generate C code and compile them. I imagined that this is what it was like to write the first version of C++, the one that generated C code.

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