• mdp

  • Referenced in 9 articles [sw14129]
  • collection of supervised and unsupervised learning algorithms and other data processing units that ... Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers...
  • Manopt

  • Referenced in 84 articles [sw08493]
  • efficient numerical algorithms. In particular, optimization on manifolds is well-suited to deal with rank ... Such structured constraints appear pervasively in machine learning applications, including low-rank matrix completion, sensor...
  • Megaman

  • Referenced in 3 articles [sw17838]
  • Megaman: scalable manifold learning in python. Manifold Learning (ML) is a class of algorithms seeking ... manifold. Despite this, most existing manifold learning implementations are not particularly scalable. Here we present ... package that implements a variety of manifold learning algorithms in a modular and scalable fashion ... package incorporates theoretical advances in manifold learning, such as the unbiased Laplacian estimator introduced...
  • UMAP

  • Referenced in 3 articles [sw34900]
  • Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed...
  • geomstats

  • Referenced in 2 articles [sw24373]
  • Machine Learning. We introduce geomstats, a python package that performs computations on manifolds such ... extensively unit-tested implementations of these manifolds, together with useful Riemannian metrics and associated Exponential ... implementation and integrated geomstats manifold computations into keras deep learning framework. This paper ... also presents a review of manifolds in machine learning and an overview of the geomstats...
  • Manifold Regularization

  • Referenced in 1 article [sw24840]
  • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. We propose...
  • GraphDemo

  • Referenced in 1 article [sw10148]
  • learning. Many machine learning algorithms model local neighborhoods using similarity graphs: manifold methods for dimensionality ... spectral clustering, label propagation for semi-supervised learning, and so on. However, for most...
  • Isomap

  • Referenced in 11 articles [sw31686]
  • uses easily measured local metric information to learn the underlying global geometry of a data ... important class of data manifolds, is guaranteed to converge asymptotically to the true structure...
  • ADOL-C

  • Referenced in 233 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • CGAL

  • Referenced in 355 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • CoCoA

  • Referenced in 621 articles [sw00143]
  • CoCoA is a system for Computations in Commutative...
  • Coq

  • Referenced in 1784 articles [sw00161]
  • Coq is a formal proof management system. It...
  • CSDP

  • Referenced in 197 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...
  • GAP

  • Referenced in 2850 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • Gmsh

  • Referenced in 576 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • HSL

  • Referenced in 269 articles [sw00418]
  • HSL (formerly the Harwell Subroutine Library) is a...
  • hypre

  • Referenced in 263 articles [sw00426]
  • hypre is a software library for the solution...
  • LANCELOT

  • Referenced in 297 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...
  • LAPACK

  • Referenced in 1626 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Macaulay2

  • Referenced in 1658 articles [sw00537]
  • Macaulay2 is a software system devoted to supporting...