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manifold-learning

Here are 151 public repositories matching this topic...

haifengl / smile

Statistical Machine Intelligence & Learning Engine

Updated Jan 4, 2025
Java

JustGlowing / minisom

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

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

Updated Dec 9, 2024
Python

KrishnaswamyLab / PHATE

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

data-visualization dimensionality-reduction unsupervised-learning single-cell manifold-learning

Updated Oct 1, 2024
Python

nicola-decao / s-vae-pytorch

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

cellrank

theislab / cellrank

CellRank: dynamics from multi-view single-cell data

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 Dec 14, 2024
Python

dpeerlab / Palantir

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 Nov 30, 2024
Jupyter Notebook

johannbrehmer / manifold-flow

Manifold-learning flows (ℳ-flows)

manifold-learning density-estimation normalizing-flows notagan

Updated Nov 13, 2020
Jupyter Notebook

nicola-decao / s-vae-tf

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

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

Updated Dec 1, 2018
Python

drewwilimitis / Manifold-Learning

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

tuanad121 / Python-WORLD

python vae pycharm pitch manifold-learning variational-autoencoder world-vocoder manifold-vocoder

Updated Dec 20, 2023
Python

naver / tldr

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

dimensionality-reduction manifold-learning unsupervised-machine-learning pytorch-implementation

Updated Jun 15, 2022
Python

davisidarta / topometry

Systematically learn and evaluate manifolds from high-dimensional data

visualization data-science machine-learning graph clustering scikit-learn data-visualization dimensionality-reduction single-cell graph-layout manifold-learning laplace-beltrami hypothesis-generation

Updated Jul 6, 2023
Python

wildart / ManifoldLearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

julia dimensionality-reduction lle diffusion-maps manifold-learning isomap

Updated Mar 2, 2024
Julia

hwalsuklee / tensorflow-mnist-AAE

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

A Framework for Dimensionality Reduction in R

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

Updated Mar 21, 2023
R

TorchDR / TorchDR

TorchDR - PyTorch Dimensionality Reduction

python dimensionality-reduction manifold-learning optimal-transport affinity-matrix

Updated Jan 1, 2025
Python

zhanglabtools / DSMO.course

Data Science and Matrix Optimization course

data-science course-materials matrix-factorization manifold-learning matrix-completion subspace-clustering manifold-alignment precision-matrix-estimation

Updated Sep 2, 2020

layer6ai-labs / GSS

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

image-retrieval manifold-learning gcn neurips neurips-2019

Updated Aug 15, 2020
Python

FenghaoZhu / GMML

This is the code implementation for the GMML algorithm.

ai gradient manifold-learning beamforming meta-learning reconfigurable-intelligent-surfaces

Updated Nov 29, 2024
Python

kisungyou / Rdimtools

Dimension Reduction and Estimation Methods

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

Updated Dec 15, 2022
R

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