The Wayback Machine - http://web.archive.org/web/20200724064155/https://github.com/topics/manifold-learning

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manifold-learning

Here are 55 public repositories matching this topic...

haifengl / smile

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Statistical Machine Intelligence & Learning Engine

visualization nlp data-science machine-learning statistics deep-learning graph clustering interpolation genetic-algorithm linear-algebra regression nearest-neighbor-search classification wavelet dataframe computer-algebra-system manifold-learning multidimensional-scaling

Updated Jul 24, 2020
Java

RubixML / RubixML

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A high-level machine learning and deep learning library for the PHP language.

php data-science machine-learning natural-language-processing algorithm deep-learning neural-network analytics clustering cross-validation regression prediction classification estimator rubix machine-learning-library feature-vector hidden-layers manifold-learning anomaly-detection classification-trees regression-trees php-ml php-machine-learning

Updated Jul 23, 2020
PHP

JustGlowing / minisom

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🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

machine-learning clustering som neural-networks dimensionality-reduction outlier-detection unsupervised-learning manifold-learning self-organizing-map vector-quantization

Updated Jul 23, 2020
Python

nicola-decao / s-vae-pytorch

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Pytorch implementation of Hyperspherical Variational Auto-Encoders

machine-learning deep-learning pytorch vae manifold-learning variational-autoencoder von-mises-fisher hyperspherical-vae

Updated Mar 21, 2020
Python

nicola-decao / s-vae-tf

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Tensorflow implementation of Hyperspherical Variational Auto-Encoders

machine-learning deep-learning tensorflow citation vae manifold-learning variational-autoencoder von-mises-fisher nicolas hyperspherical-vae

Updated Dec 1, 2018
Python

johannbrehmer / manifold-flow

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Manifold-learning flows (ℳ-flows)

manifold-learning density-estimation normalizing-flows notagan

Updated Jun 27, 2020
Jupyter Notebook

tuanad121 / Python-WORLD

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audio python scale analysis vae pycharm pitch manifold-learning f0-analysis variational-autoencoder world-vocoder manifold-vocoder

Updated Jun 5, 2020
Python

hwalsuklee / tensorflow-mnist-AAE

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Tensorflow implementation of adversarial auto-encoder for MNIST

tensorflow gan mnist autoencoder vae manifold adversarial-networks manifold-learning adversarial-autoencoders aae

Updated Nov 7, 2017
Python

gdkrmr / dimRed

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A Framework for Dimensionality Reduction in R

visualization quality-control framework r high-dimensional-data dimensionality-reduction manifold-learning

Updated Nov 11, 2019
R

dpeerlab / Palantir

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Single cell trajectory detection

markov-chain dimensionality-reduction scrna-seq trajectory-generation diffusion-maps differentiation manifold-learning single-cell-genomics cell-fate-transitions scrna-seq-analysis

Updated May 20, 2020
Jupyter Notebook

wildart / ManifoldLearning.jl

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A Julia package for manifold learning and nonlinear dimensionality reduction

julia dimensionality-reduction manifold-learning

Updated Apr 10, 2020
Julia

layer6ai-labs / GSS

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Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

image-retrieval manifold-learning gcn neurips neurips-2019

Updated May 4, 2020
Python

drewwilimitis / Manifold-Learning

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Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

python dimensionality-reduction manifold-learning isomap multidimensional-scaling spectral-embedding laplacian-eigenmaps locally-linear-embedding

Updated Mar 5, 2020
Jupyter Notebook

NLeSC / DiVE

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An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Embed-Dive.

high-dimensional-data web-application manifold-learning interactive-visualizations 3d-data embedded-data non-linear-dimensionality-reduction

Updated Mar 12, 2018
HTML

mdeff / dlaudio

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Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)

deep-learning graphs music-information-retrieval sparse manifold-learning auto-encoders

Updated Apr 18, 2020
Jupyter Notebook

theislab / cellrank

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Mapping the fate of single cells using RNA Velocity

data-science machine-learning bioinformatics genetics trajectory-generation markov-chains manifold-learning single-cell-genomics single-cell-rna-seq cell-fate-transitions fuzzy-clustering-analyses rna-velocity cell-fate-determination

Updated Jul 23, 2020
Python

kyoustat / Rdimtools

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Dimension Reduction and Estimation Methods

r manifold-learning dimension-reduction subspace-learning dimension-estimation

Updated Jul 18, 2020
R

LayneH / MRCNN

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TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.

tensorflow convolutional-neural-networks transfer-learning fine-tune manifold-learning

Updated May 14, 2017
Python

RubixML / Credit

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An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

php data-science machine-learning tutorial pipeline analytics taiwan dimensions cross-validation credit-card prediction labels dataset classification estimator logistic-regression monte-carlo-simulation t-sne example-project risk-assessment learners manifold-learning department php-ml credit-card-bill machine-learning-tutorial yeh rubix-ml php-machine-learning

Updated Jul 12, 2020
PHP

LavieLuo / DRMEA

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Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).

manifold-learning domain-adaptation aaai2020

Updated Mar 4, 2020
Python

stat-ml / GeoMLE

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This repo contains code for GeoMLE intrinsic dimension estimation algorithm

manifold-learning maximum-likelihood-estimation intrinsic-dimension

Updated Jul 10, 2020
Jupyter Notebook

shreyashpatodia / tsne-lib

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A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region

visualization machine-learning sklearn high-dimensional-data dimensionality-reduction machinelearning deeplearning t-sne tsne manifold-learning tsne-animation

Updated Jun 4, 2018
Python

sonjageorgievska / Embed-Dive

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A tool that performs 3D embedding of data and provides interactive visualization.

dimensionality-reduction embedding interactive-visualization manifold-learning

Updated Feb 3, 2017
JavaScript

gmishne / DiffusionNet

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Diffusion Net TensorFlow implementation

tensorflow autoencoder outlier-detection diffusion-maps manifold-learning anomaly-detection

Updated Nov 10, 2017
Jupyter Notebook

gdkrmr / coRanking

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Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions

quality r statistics dimensionality-reduction unsupervised-learning manifold-learning

Updated Feb 12, 2020
R

gmishne / diffusion_maps

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Matlab implementation of Diffusion Maps

matlab diffusion-maps manifold-learning

Updated Oct 11, 2017
MATLAB

andrewssobral / manopt

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A Matlab toolbox for optimization on manifolds (by Boumal and Mishra)

optimization matlab matlab-toolbox manifold-learning

Updated Feb 8, 2017
MATLAB

gmishne / pyquest

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pyquest: diffusion analysis of transposable arrays

clustering diffusion-maps manifold-learning tensor-decomposition bi-clustering hierarchical-clustering

Updated Sep 1, 2017
Jupyter Notebook

nrohani / ISCMF

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ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction

machine-learning bioinformatics matrix-factorization feature-extraction classification drug-discovery drug-repurposing drug drugbank drugs similarity-measures drug-design manifold-learning link-prediction matrix-decompositions drug-similarity drug-drug-interaction drug-target-interactions iscmf

Updated Jun 30, 2020
Python

ManuSetty / Palantir

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Single cell trajectory detection

machine-learning entropy dimensionality-reduction scrna-seq trajectory-generation diffusion-maps differentiation manifold-learning manifold-learing single-cell-genomics single-cell-rna-seq single-cell-analysis cell-fate-transitions

Updated Aug 21, 2018
Jupyter Notebook

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