Projects authored by ryan curtin.


Logo Armadillo library 6.700

by cu24gjf - April 24, 2016, 05:08:11 CET [ Project Homepage BibTeX Download ] 82446 views, 16815 downloads, 5 subscriptions

Rating Whole StarWhole StarWhole StarWhole StarEmpty Star
(based on 3 votes)

About: Armadillo is a high quality C++ linear algebra library, aiming towards a good balance between speed and ease of use. The function syntax is deliberately similar to MATLAB. Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products).

Changes:
  • added trapz() for numerical integration
  • added logmat() for calcuating the matrix logarithm
  • added approx_equal() for determining approximate equality
  • added regspace() for generating vectors with regularly spaced elements
  • added logspace() for generating vectors with logarithmically spaced elements
  • expanded .save() and .load() with hdf5_binary_trans file type, to save/load data with columns transposed to rows
  • fixes for trunc_log() and trunc_exp()

Logo JMLR MLPACK 2.0.1

by rcurtin - March 3, 2016, 18:52:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 58267 views, 10761 downloads, 6 subscriptions

Rating Whole StarWhole StarWhole StarWhole Star1/2 Star
(based on 1 vote)

About: A scalable, fast C++ machine learning library, with emphasis on usability.

Changes:
  • Fix CMake to properly detect when MKL is being used with Armadillo.
  • Minor parameter handling fixes to mlpack_logistic_regression.
  • Properly install arma_config.hpp.
  • Memory handling fixes for Hoeffding tree code.
  • Add functions that allow changing training-time parameters to HoeffdingTree class.
  • Fix infinite loop in sparse coding test.
  • Documentation spelling fixes.
  • Properly handle covariances for Gaussians with large condition number, preventing GMMs from filling with NaNs during training (and also HMMs that use GMMs).
  • CMake fixes for finding LAPACK and BLAS as Armadillo dependencies when ATLAS is used.
  • CMake fix for projects using mlpack's CMake configuration from elsewhere.