dimensionality-reduction

There are 23 repositories under dimensionality-reduction topic.

lmcinnes / umap
Uniform Manifold Approximation and Projection
umap dimensionality-reduction visualization machine-learning topological-data-analysis
Language:Python 6975
tirthajyoti / Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
numpy statistics pandas matplotlib regression scikit-learn classification clustering decision-trees random-forest dimensionality-reduction neural-network deep-learning artificial-intelligence data-science machine-learning k-nearest-neighbours naive-bayes pytest flask
Language:Jupyter Notebook 2999
seandavi / awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
analysis analysis-pipeline atac-seq awesome-list bioinformatics cell-clusters cell-cycle cell-differentiation cell-populations clustering data-integration data-visualization dimensionality-reduction gene-expression gene-expression-profiles python rna-seq-data rna-seq-experiments scrna-seq-data single-cell
2933
awesome-community-detection
benedekrozemberczki / awesome-community-detection
A curated list of community detection research papers with implementations.
graph-clustering network-clustering clustering dimensionality-reduction factorization embedding deep-learning matrix-factorization igraph networkx bigclam network-science social-network network-analysis node2vec deepwalk unsupervised-learning data-science machine-learning community-detection
Language:Python 2272
kk7nc / Text_Classification
Text Classification Algorithms: A Survey
text-classification nlp-machine-learning document-classification text-processing dimensionality-reduction rocchio-algorithm boosting-algorithms logistic-regression naive-bayes-classifier k-nearest-neighbours support-vector-machines decision-trees random-forest conditional-random-fields deep-learning deep-neural-network recurrent-neural-networks convolutional-neural-networks deep-belief-network hierarchical-attention-networks
Language:Python 1780
JustGlowing / minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
machine-learning vector-quantization som neural-networks unsupervised-learning manifold-learning self-organizing-map clustering outlier-detection dimensionality-reduction
Language:Python 1391
pavlin-policar / openTSNE
Extensible, parallel implementations of t-SNE
dimensionality-reduction embedding machine-learning tsne visualization
Language:Python 1370
datasets
benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
network-science network-analysis data-science machine-learning gcn graph-embedding network-embedding community-detection link-prediction node-classification graph-convolution node-embedding graph-neural-network gnn dimensionality-reduction deepwalk node2vec graph2vec benchmark dataset
589
cvxgrp / pymde
Minimum-distortion embedding with PyTorch
embedding visualization feature-vectors machine-learning dimensionality-reduction graph-embedding pytorch cuda gpu
Language:Python 516
maykulkarni / Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
machine-learning python python-machine-learning machine-learning-algorithms deep-learning deep-learning-tutorial neural-networks data-science-notebook data-processing regression-models classification-trees clustering-methods reinforcement-learning natural-language-processing dimensionality-reduction model-evaluation deep-learning-algorithms machine-learning-tutorials
Language:Jupyter Notebook 464
KrishnaswamyLab / PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
data-visualization dimensionality-reduction manifold-learning single-cell unsupervised-learning
Language:Python 453
JuliaStats / MultivariateStats.jl
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
julia multivariate-statistics dimensionality-reduction ica lda mds pca statistics regression cca isotonic-regression linear-regression ols-regression ridge-regression
Language:Julia 370
PAIR-code / umap-js
JavaScript implementation of UMAP
javascript umap dimensionality-reduction
Language:JavaScript 355
beringresearch / ivis
Dimensionality reduction in very large datasets using Siamese Networks
machine-learning data-visualization dimensionality-reduction neural-network siamese-neural-network
Language:Python 319
jlmelville / uwot
An R package implementing the UMAP dimensionality reduction method.
r umap dimensionality-reduction
Language:R 308
ardiya / siamesenetwork-tensorflow
Using siamese network to do dimensionality reduction and similar image retrieval
tensorflow siamese-network dimensionality-reduction image-retrieval
Language:Jupyter Notebook 281
GAA-UAM / scikit-fda
Functional Data Analysis Python package
functional-data-analysis python python3 statistics scikits alignment classification clustering curves dimensionality-reduction functions machine-learning registration regression smoothing visualization
Language:Python 280
machenslab / dPCA
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
dimensionality-reduction python matlab
Language:Jupyter Notebook 267
yuki-koyama / mathtoolbox
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
algorithm dimensionality-reduction interpolation eigen optimization rbf gpr mds bfgs
Language:C++ 252
koba-jon / pytorch_cpp
Deep Learning sample programs using PyTorch in C++
pytorch libtorch cpp deep-learning linux convolutional-autoencoder autoencoder vae dcgan u-net pix2pix dagmm multiclass-classification dimensionality-reduction generative-modeling image-to-image-translation semantic-segmentation anomaly-detection object-detection yolo
Language:C++ 238
iqiukp / KPCA-MATLAB
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
dimensionality-reduction fault-detection fault-diagnosis kpca
Language:MATLAB 218
syamkakarla98 / Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
hyperspectral hyperspectral-image-classification python3 tensorflow turorial pandas matplotlib-pyplot plotly classification dimensionality-reduction hyperspectral-images remote-sensing satellite-imagery satellite-images indian-pines-dataset machine-learning data-analysis python data-science hacktoberfest
Language:Jupyter Notebook 215
humap
wilsonjr / humap
Hierarchical Uniform Manifold Approximation and Projection
dimensionality-reduction machine-learning visualization
Language:Jupyter Notebook 210
danaugrs / go-tsne
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
3d data-science dimensionality-reduction go machine-learning tsne unsupervised-learning visualization
Language:Go 203
drewwilimitis / Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
python manifold-learning dimensionality-reduction isomap multidimensional-scaling locally-linear-embedding spectral-embedding laplacian-eigenmaps
Language:Jupyter Notebook 202
DANMF
benedekrozemberczki / DANMF
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
deep-learning autoencoder machine-learning data-science clustering community-detection nmf deepwalk node2vec mnmf gemsec coordinate-descent danmf node-embedding word2vec embedding sklearn cikm unsupervised-learning dimensionality-reduction
Language:Python 201
snrazavi / Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
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
Language:Jupyter Notebook 201
dpeerlab / Palantir
Single cell trajectory detection
scrna-seq scrna-seq-analysis manifold-learning dimensionality-reduction diffusion-maps markov-chain differentiation single-cell-genomics trajectory-generation cell-fate-transitions
Language:Jupyter Notebook 195
PacktWorkshops / The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
datascience python regression binaryclassification random-forest clusteranalysis machine-learning hyperparameter-tuning-data-preparation feature-engineering dimensionality-reduction ensemble-learning-machine-learning-pipelines
Language:Jupyter Notebook 188
YttriLab / B-SOID
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.
deeplabcut unsupervised-learning-algorithm behavior-analysis dimensionality-reduction neuroscience discover-behaviors umap-hdbscan openpose sleap
Language:Python 175
dimkastan / PyTorch-Spectral-clustering
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
diffusion-distance diffusion-maps dimensionality-reduction fiedler-vector graph-cut laplacian-maps pytorch pytorch-demo pytorch-numpy pytorch-tutorial sorting-distance-matrix
Language:Python 159
fcomitani / simpsom
Python library for Self-Organizing Maps
clustering dimensionality-reduction kohonen python self-organizing-map
Language:Python 154
jgraving / selfsne
Self-Supervised Noise Embeddings (Self-SNE)
clustering machine-learning embedding-models contrastive-learning self-supervised-learning dimensionality-reduction deep-learning
Language:Jupyter Notebook 153
msmbuilder / msmbuilder
:building_construction: Statistical models for biomolecular dynamics :building_construction:
molecular-dynamics python msmbuilder dimensionality-reduction hmm feature-extraction tica pca markov-model clustering analysis
Language:Python 151
timsainb / ParametricUMAP_paper
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).
umap dimensionality-reduction semisupervised-learning representation-learning machine-learning
Language:Jupyter Notebook 146
tkonopka / umap
Uniform Manifold Approximation and Projection - R package
dimensionality-reduction umap
Language:R 130

dimensionality-reduction

lmcinnes / umap

tirthajyoti / Machine-Learning-with-Python

seandavi / awesome-single-cell

benedekrozemberczki / awesome-community-detection

kk7nc / Text_Classification

JustGlowing / minisom

pavlin-policar / openTSNE

benedekrozemberczki / datasets

cvxgrp / pymde

maykulkarni / Machine-Learning-Notebooks

KrishnaswamyLab / PHATE

JuliaStats / MultivariateStats.jl

PAIR-code / umap-js

beringresearch / ivis

jlmelville / uwot

ardiya / siamesenetwork-tensorflow

GAA-UAM / scikit-fda

machenslab / dPCA

yuki-koyama / mathtoolbox

koba-jon / pytorch_cpp

iqiukp / KPCA-MATLAB

syamkakarla98 / Hyperspectral_Image_Analysis_Simplified

wilsonjr / humap

danaugrs / go-tsne

drewwilimitis / Manifold-Learning

benedekrozemberczki / DANMF

snrazavi / Machine_Learning_2018

dpeerlab / Palantir

PacktWorkshops / The-Data-Science-Workshop

YttriLab / B-SOID

dimkastan / PyTorch-Spectral-clustering

fcomitani / simpsom

jgraving / selfsne

msmbuilder / msmbuilder

timsainb / ParametricUMAP_paper

tkonopka / umap