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@ocramz

Marco Z

ocramz

Hi! My OSS contributions are mainly in Haskell and related to scientific/numerical computing, data science and machine learning. I've also been organizing, helping beginners and writing documentation for the DataHaskell community (btw come say hi on gitter! ).

I've been gladly doing this in my spare time since ~2016 ; my contributions are used by researchers, hobbyists and some companies, who can now sponsor me directly to show appreciation for my work and speed up its development.

1 sponsor has funded ocramz’s work.

@ocramz

Let's make purely functional machine learning a reality !

@jordanrule

Featured work

  1. ocramz/heidi

    heidi : tidy data in Haskell

    Haskell 27
  2. ocramz/sparse-linear-algebra

    Numerical computation in native Haskell

    Haskell 88
  3. ocramz/matrix-market-attoparsec

    Attoparsec parsers for the NIST Matrix Market format

    Haskell 7
  4. ocramz/taco-hs

    Haskell port of the Tensor Algebra COmpiler

    Haskell 16
  5. Haskell 7
  6. ocramz/sde

    Numerical experiments with stochastic differential equations

    Haskell 19

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