ManifoldLearning.jl

Dimension reducer

A package for performing nonlinear dimensionality reduction and manifold learning techniques.

A Julia package for manifold learning and nonlinear dimensionality reduction

GitHub

92 stars
6 watching
22 forks
Language: Julia
last commit: 9 months ago
Linked from 1 awesome list

diffusion-mapsdimensionality-reductionisomapjuliallemanifold-learning

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
beringresearch/ivis A dimensionality reduction framework using a Siamese Neural Network to visualize high-dimensional datasets 331
wildart/tda.jl A Julia package for analyzing high-dimensional data by applying topological methods to understand complex relationships and patterns 38
vyraun/half-size An algorithm to reduce word embeddings to a specified size while maintaining performance 128
torchdr/torchdr A PyTorch-based library for dimensionality reduction and manifold learning using affinity matrices. 68
mljs/pca Tool for reducing dimensionality of data by identifying and preserving the most informative directions. 97
yingfanwang/pacmap A dimensionality reduction method that preserves both local and global structure of the data in original space 537
lanl-ansi/watermodels.jl A Julia package for solving optimization problems in water distribution networks 73
lindahua/regression.jl A Julia package providing algorithms and solvers for regression analysis 64
juliareinforcementlearning/reinforcementlearninganintroduction.jl Provides Julia code to generate figures and examples for an introductory reinforcement learning book 310
henselman-petrusek/eirene.jl A Julia library for analyzing and visualizing topological features of point clouds 117
jungmannlab/picasso Tools for enhancing image resolution using machine learning algorithms 110
clementfarabet/manifold Manages and transforms high-dimensional data into lower-dimensional representations using various algorithms 141
jnagy1/irtools A collection of iterative regularization methods and large-scale test problems for linear inverse problems. 88
andrewssobral/lrslibrary A collection of low-rank and sparse decomposition algorithms for computer vision and machine learning tasks 836
benedekrozemberczki/asne A software implementation of a method to reduce the dimensionality of attributed graphs 82