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MGL: Common Lisp machine learning library
- medo-bear 3y agoPlease note that despite current lack of MGL-PAX (https://github.com/melisgl/mgl-pax https://github.com/melisgl/mgl-pax) documentation, Boltzman Machines and Gaussian Processes are implemented and documented in the source, which is very well and cleanly written https://github.com/melisgl/mgl/blob/master/src/boltzmann-machine.lisp https://github.com/melisgl/mgl/blob/master/src/boltzmann-mac... https://github.com/melisgl/mgl/blob/master/src/gaussian-process.lisp https://github.com/melisgl/mgl/blob/master/src/gaussian-proc...
- lukego 3y agoThis is a really impressively put together piece of software and a great showcase for the MGL-PAX self-documentation framework. I'm getting a lot of inspiration from this stack lately.
- mtlmtlmtlmtl 3y agoYeah I was going to comment that I was kind of astounded by the quality of the documentation. And though I haven't looked, that gives me high hopes for the code itself too. Usually well documented code tends to be well written code. I find myself inspired as well. We should all aspire to document our code this thoroughly.
- aa-jv 3y agoI'm a newcomer to this subject and I'm finding it very refreshing to have such a well-taped path ahead of me.
- vrglvrglvrgl 3y ago[dead]
- vindarel 3y agoThey are humble. What they do not say: > used by its author to win the Higgs Boson Machine Learning Challenge.
- avodonosov 3y agoThe author also won Google AI Challenge in 2010. Using Common Lisp, but without this library, as no machine learning was needed. https://en.m.wikipedia.org/wiki/AI_Challenge https://en.m.wikipedia.org/wiki/AI_Challenge There is a talk about his approach in that competition: https://www.youtube.com/watch?v=7sgERtZkycU https://www.youtube.com/watch?v=7sgERtZkycU Apparently, some other competitions are also won: https://www.kaggle.com/melisgl https://www.kaggle.com/melisgl