
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 wellsuited to deal with rank ... Such structured constraints appear pervasively in machine learning applications, including lowrank 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 unittested 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 semisupervised 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...

ADOLC
 Referenced in 233 articles
[sw00019]
 ADOLC: 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 largescale 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...