Topic: dimensionality-reduction Goto Github

👇 Here are 1199 public repositories matching this topic...

ardiya / siamesenetwork-tensorflow
dimensionality-reduction,Using siamese network to do dimensionality reduction and similar image retrieval
User: ardiya
tensorflow siamese-network dimensionality-reduction image-retrieval

benedekrozemberczki / awesome-community-detection
dimensionality-reduction,A curated list of community detection research papers with implementations.
User: benedekrozemberczki
graph-clustering network-clustering clustering dimensionality-reduction factorization embedding deep-learning matrix-factorization igraph networkx

benedekrozemberczki / danmf
dimensionality-reduction,A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
deep-learning autoencoder machine-learning data-science clustering community-detection nmf deepwalk node2vec mnmf

benedekrozemberczki / datasets
dimensionality-reduction,A repository of pretty cool datasets that I collected for network science and machine learning research.
User: benedekrozemberczki
network-science network-analysis data-science machine-learning gcn graph-embedding network-embedding community-detection link-prediction node-classification

benedekrozemberczki / walklets
dimensionality-reduction,A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
embedding deepwalk walklet multiscale node-embedding graph-embedding machine-learning dimensionality-reduction word2vec node2vec

berenslab / t-simcne
dimensionality-reduction,Unsupervised visualization of image datasets using contrastive learning
Organization: berenslab
Home Page: https://t-simcne.readthedocs.io/en/latest/
dimensionality-reduction visualization

beringresearch / ivis
dimensionality-reduction,Dimensionality reduction in very large datasets using Siamese Networks
User: beringresearch
Home Page: https://beringresearch.github.io/ivis/
machine-learning data-visualization dimensionality-reduction neural-network siamese-neural-network

cvxgrp / pymde
dimensionality-reduction,Minimum-distortion embedding with PyTorch
Organization: cvxgrp
Home Page: https://pymde.org
embedding visualization feature-vectors machine-learning dimensionality-reduction graph-embedding pytorch cuda gpu

danaugrs / go-tsne
dimensionality-reduction,t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
User: danaugrs
go machine-learning dimensionality-reduction tsne visualization 3d unsupervised-learning data-science

dillondaudert / umap.jl
dimensionality-reduction,Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
User: dillondaudert
umap julia dimensionality-reduction visualization machine-learning topological-data-analysis

dimkastan / pytorch-spectral-clustering
dimensionality-reduction,[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
User: dimkastan
diffusion-distance diffusion-maps dimensionality-reduction fiedler-vector graph-cut laplacian-maps pytorch pytorch-demo pytorch-numpy pytorch-tutorial sorting-distance-matrix

dpeerlab / palantir
dimensionality-reduction,Single cell trajectory detection
Organization: dpeerlab
Home Page: https://palantir.readthedocs.io
scrna-seq scrna-seq-analysis manifold-learning dimensionality-reduction diffusion-maps markov-chain differentiation single-cell-genomics trajectory-generation cell-fate-transitions

drewwilimitis / manifold-learning
dimensionality-reduction,Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
User: drewwilimitis
Home Page: https://drewwilimitis.github.io/Manifold-Learning/
python manifold-learning dimensionality-reduction isomap multidimensional-scaling locally-linear-embedding spectral-embedding laplacian-eigenmaps

fcomitani / simpsom
dimensionality-reduction,Python library for Self-Organizing Maps
User: fcomitani
clustering dimensionality-reduction kohonen python self-organizing-map

gaa-uam / scikit-fda
dimensionality-reduction,Functional Data Analysis Python package
Organization: gaa-uam
Home Page: https://fda.readthedocs.io
alignment classification clustering curves dimensionality-reduction functional-data-analysis functions machine-learning python python3 registration regression scikits smoothing statistics visualization

ganguli-lab / twpca
dimensionality-reduction,🕝 Time-warped principal components analysis (twPCA)
Organization: ganguli-lab
dimensionality-reduction principal-components time-warp neuroscience

hyungkwonko / umato
dimensionality-reduction,Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
User: hyungkwonko
umato dimensionality-reduction visualization topological-data-analysis umap

iqiukp / kpca-matlab
dimensionality-reduction,MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
User: iqiukp
kpca dimensionality-reduction fault-detection fault-diagnosis

jgraving / selfsne
dimensionality-reduction,Self-Supervised Noise Embeddings (Self-SNE)
User: jgraving
clustering machine-learning embedding-models contrastive-learning self-supervised-learning dimensionality-reduction deep-learning

jlmelville / uwot
dimensionality-reduction,An R package implementing the UMAP dimensionality reduction method.
User: jlmelville
Home Page: https://jlmelville.github.io/uwot/
r umap dimensionality-reduction

juliastats / multivariatestats.jl
dimensionality-reduction,A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Organization: juliastats
cca dimensionality-reduction ica isotonic-regression julia lda linear-regression mds multivariate-statistics ols-regression pca regression ridge-regression statistics

justglowing / minisom
dimensionality-reduction,:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
User: justglowing
clustering dimensionality-reduction kohonen machine-learning manifold-learning neural-networks outlier-detection self-organizing-map som unsupervised-learning vector-quantization

kevinzakka / tsne-viz
dimensionality-reduction,Python Wrapper for t-SNE Visualization
User: kevinzakka
tsne python embedding dimensionality-reduction

kk7nc / text_classification
dimensionality-reduction,Text Classification Algorithms: A Survey
User: kk7nc
text-classification nlp-machine-learning document-classification text-processing dimensionality-reduction rocchio-algorithm boosting-algorithms logistic-regression naive-bayes-classifier k-nearest-neighbours

koba-jon / pytorch_cpp
dimensionality-reduction,Deep Learning sample programs using PyTorch in C++
User: koba-jon
pytorch libtorch cpp deep-learning linux convolutional-autoencoder autoencoder vae dcgan u-net

krishnaswamylab / phate
dimensionality-reduction,PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Organization: krishnaswamylab
Home Page: http://phate.readthedocs.io
single-cell dimensionality-reduction data-visualization unsupervised-learning manifold-learning

lmcinnes / enstop
dimensionality-reduction,Ensemble topic modelling with pLSA
User: lmcinnes
dimensionality-reduction matrix-factorization plsa topic-modeling

lmcinnes / umap
dimensionality-reduction,Uniform Manifold Approximation and Projection
User: lmcinnes
umap dimensionality-reduction visualization machine-learning topological-data-analysis

machenslab / dpca
dimensionality-reduction,An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Organization: machenslab
dimensionality-reduction python matlab

maykulkarni / machine-learning-notebooks
dimensionality-reduction,Machine Learning notebooks for refreshing concepts.
User: maykulkarni
machine-learning python python-machine-learning machine-learning-algorithms deep-learning deep-learning-tutorial neural-networks data-science-notebook data-processing regression-models

mcsorkun / chemplot
dimensionality-reduction,A python package for chemical space visualization.
User: mcsorkun
Home Page: https://chemplot.readthedocs.io/en/latest/
chemical-space cheminformatics data-visualization dimensionality-reduction

msmbuilder / msmbuilder
dimensionality-reduction,:building_construction: Statistical models for biomolecular dynamics :building_construction:
Organization: msmbuilder
Home Page: http://msmbuilder.org
analysis clustering dimensionality-reduction feature-extraction hmm markov-model molecular-dynamics msmbuilder pca python tica

naver / tldr
dimensionality-reduction,TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
Organization: naver
dimensionality-reduction unsupervised-machine-learning pytorch-implementation manifold-learning

packtworkshops / the-data-science-workshop
dimensionality-reduction,A New, Interactive Approach to Learning Data Science
Organization: packtworkshops
datascience python regression binaryclassification random-forest clusteranalysis machine-learning hyperparameter-tuning- data-preparation feature-engineering

pair-code / umap-js
dimensionality-reduction,JavaScript implementation of UMAP
Organization: pair-code
javascript umap dimensionality-reduction

pavlin-policar / opentsne
dimensionality-reduction,Extensible, parallel implementations of t-SNE
User: pavlin-policar
Home Page: https://opentsne.rtfd.io
dimensionality-reduction embedding machine-learning tsne visualization

saehm / druidjs
dimensionality-reduction,A JavaScript Library for Dimensionality Reduction
User: saehm
dimensionality-reduction clustering javascript-library unsupervised-learning matrix t-sne mds pca umap ltsa

seandavi / awesome-single-cell
dimensionality-reduction,Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
User: seandavi
rna-seq-data gene-expression scrna-seq-data bioinformatics awesome-list dimensionality-reduction cell-cycle atac-seq analysis cell-differentiation

snrazavi / machine_learning_2018
dimensionality-reduction,Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
User: snrazavi
anomaly-detection backpropagation classification clustering dimensionality-reduction gradient-descent linear-regression logistic-regression machine-learning neural-networks pca python recommender-system regression supervised-learning support-vector-machines unsupervised-machine-learning

syamkakarla98 / hyperspectral_image_analysis_simplified
dimensionality-reduction,The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
User: syamkakarla98
hyperspectral hyperspectral-image-classification python3 tensorflow turorial pandas matplotlib-pyplot plotly classification dimensionality-reduction

tatevkaren / mathematics-statistics-for-data-science
dimensionality-reduction,Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
User: tatevkaren
linear-regression r bootstrap probability-distribution monte-carlo-simulation importance-sampling rejection-sampling inverse-transform-method regression-analysis dimensionality-reduction

timsainb / parametricumap_paper
dimensionality-reduction,Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
User: timsainb
umap dimensionality-reduction semisupervised-learning representation-learning machine-learning

tirthajyoti / machine-learning-with-python
dimensionality-reduction,Practice and tutorial-style notebooks covering wide variety of machine learning techniques
User: tirthajyoti
Home Page: https://machine-learning-with-python.readthedocs.io/en/latest/
artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics

tkonopka / umap
dimensionality-reduction,Uniform Manifold Approximation and Projection - R package
User: tkonopka
dimensionality-reduction umap

trevorprater / pymorton
dimensionality-reduction,A lightweight and efficient Python Morton encoder with support for geo-hashing
User: trevorprater
nearest-neighbors bit-interleaving sorting-algorithms geospatial-analysis morton-code z-order quadtree image-processing hashing-algorithm dimensionality-reduction

wilsonjr / humap
dimensionality-reduction,Hierarchical Uniform Manifold Approximation and Projection
User: wilsonjr
dimensionality-reduction visualization machine-learning

xarray-contrib / xeofs
dimensionality-reduction,Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
Organization: xarray-contrib
Home Page: https://xeofs.readthedocs.io/
eof-analysis pca climate-science xarray pattern-recognition dimensionality-reduction dask

yanwu2014 / swne
dimensionality-reduction,Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
User: yanwu2014
single-cell-rna-seq single-cell-analysis data-visualization dimensionality-reduction nonnegative-matrix-factorization bioinformatics single-cell-genomics statistical-methods single-cell-atac-seq

yttrilab / b-soid
dimensionality-reduction,Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
User: yttrilab
deeplabcut unsupervised-learning-algorithm behavior-analysis dimensionality-reduction neuroscience discover-behaviors umap-hdbscan openpose sleap

yuki-koyama / mathtoolbox
dimensionality-reduction,Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
User: yuki-koyama
Home Page: https://yuki-koyama.github.io/mathtoolbox/
algorithm dimensionality-reduction interpolation eigen optimization rbf gpr mds bfgs