I'd say we're lacking in the optimization and classification department. While there are libraries for this, they are mostly bindings to C libraries which makes it more difficult to get information out of the algorithm. We have implemented BFGS and Nelder-mead here: https://github.com/glutamate/probably-baysig/tree/master/src/Math/Probably but that isn't officially open sourced (and lacking L-BFGS). We're also a lot of image processing now, and native Haskell implementations of SIFT and Gaussian mixture model fitting would be extremely useful. Tom On Thu, Nov 20, 2014 at 5:44 PM, felipe zapata <tifonzafel@gmail.com> wrote:
Hi all, I want to develop some tools on top of Vector and Repa, and I've wondered what tools could be useful that are not already on hmatrix.
Any suggestions would be appreciated,
Felipe Z.
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