Projects that are tagged with scalable.


Logo JMLR MLPACK 2.0.1

by rcurtin - March 3, 2016, 18:52:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 58285 views, 10766 downloads, 6 subscriptions

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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.

Logo RLPy 1.3a

by bobklein2 - August 28, 2014, 14:34:35 CET [ Project Homepage BibTeX Download ] 4801 views, 1030 downloads, 1 subscription

About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting).

Changes:
  • Fixed bug where results using same random seed were different with visualization turned on/off
  • Created RLPy package on pypi (Available at https://pypi.python.org/pypi/rlpy)
  • Switched from custom logger class to python default
  • Added unit tests
  • Code readability improvements (formatting, variable names/ordering)
  • Restructured TD Learning heirarchy
  • Updated tutorials