Pinned repositories

  1. LossFunctions.jl

    Julia package for loss functions in machine learning.

    Julia 21 8

  2. MLLabelUtils.jl

    Utility package for working with classification targets and label-encodings

    Julia 2 1

  3. ValueHistories.jl

    Utilities to efficiently track learning curves or other optimization information

    Julia 2 2

  • Julia package for loss functions in machine learning.

    Julia 21 8 Updated Jan 18, 2017
  • Abstractions for Julia Machine Learning Packages

    Julia 6 1 Updated Jan 3, 2017
  • Utility package for working with classification targets and label-encodings

    Julia 2 1 Updated Jan 1, 2017
  • Julia package of regularization functions for machine learning

    Julia 5 Updated Dec 27, 2016
  • Machine Learning Datasets for Julia

    Julia 6 2 Updated Dec 26, 2016
  • Utility package for generating, loading, splitting, and processing Machine Learning datasets

    Julia 11 4 Updated Dec 10, 2016
  • Implementations of stochastic optimization algorithms and solvers

    Julia 8 2 Updated Dec 6, 2016
  • Generic definitions of objective functions using abstractions from LearnBase

    Julia 2 Updated Dec 5, 2016
  • JuliaML bundled in a convenient all-in-one toolkit.

    Julia 11 Updated Dec 6, 2016
  • Storage for images and other binary files used throughout our documentation

    Julia Updated Dec 3, 2016
  • Static transforms, activation functions, and other implementations of LearnBase abstractions

    Julia 14 1 Updated Dec 3, 2016
  • Plotting recipes for statistics and machine learning using Plots.jl

    Julia 8 2 Updated Nov 7, 2016
  • Metrics for scoring machine learning models in Julia

    Julia 10 3 Updated Aug 24, 2016
  • Utilities to efficiently track learning curves or other optimization information

    Julia 2 2 Updated Aug 24, 2016
  • Tools for working with the MNIST data set

    Julia 10 Updated Aug 16, 2016
  • Bank of proximal operators to support proximal optimization algorithms

    Julia 1 Updated Jul 4, 2016
  • The home page of JuliaML

    HTML 3 Updated Jun 30, 2016
  • Loader of svmlight / liblinear format files

    Julia 4 Updated Apr 9, 2016
  • Deep Learning framework for Julia

    Julia 1 186 Updated Apr 9, 2016
  • Machine learning kernel and covariance functions/approximations

    Julia 6 Updated Apr 9, 2016
  • MXNet Julia Package - flexible and efficient deep learning in Julia

    Julia 41 Updated Apr 9, 2016
  • Discussions related to the future of Machine Learning in Julia

    7 Updated Nov 11, 2015