dimensionality-reduction

There are 25 repositories under dimensionality-reduction topic.

lmcinnes / umap
Uniform Manifold Approximation and Projection
dimensionality-reduction machine-learning topological-data-analysis umap visualization
Language:Python 7993
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
3552
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 3273
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 2410
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 1827
pavlin-policar / openTSNE
Extensible, parallel implementations of t-SNE
tsne visualization machine-learning dimensionality-reduction embedding
Language:Python 1573
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 kohonen
Language:Python 1556
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
642
cvxgrp / pymde
Minimum-distortion embedding with PyTorch
embedding visualization feature-vectors machine-learning dimensionality-reduction graph-embedding pytorch cuda gpu
Language:Python 562
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 533
KrishnaswamyLab / PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
single-cell dimensionality-reduction data-visualization unsupervised-learning manifold-learning
Language:Python 525
PAIR-code / umap-js
JavaScript implementation of UMAP
dimensionality-reduction javascript umap
Language:JavaScript 407
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 387
jlmelville / uwot
An R package implementing the UMAP dimensionality reduction method.
r umap dimensionality-reduction
Language:R 347
beringresearch / ivis
Dimensionality reduction in very large datasets using Siamese Networks
machine-learning data-visualization dimensionality-reduction neural-network siamese-neural-network
Language:Python 337
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 335
machenslab / dPCA
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
dimensionality-reduction python matlab
Language:Jupyter Notebook 311
ardiya / siamesenetwork-tensorflow
Using siamese network to do dimensionality reduction and similar image retrieval
tensorflow siamese-network dimensionality-reduction image-retrieval
Language:Jupyter Notebook 286
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++ 280
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 273
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++ 266
iqiukp / KPCA-MATLAB
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
kpca dimensionality-reduction fault-detection fault-diagnosis
Language:MATLAB 258
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 245
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 242
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 241
humap
wilsonjr / humap
Hierarchical Uniform Manifold Approximation and Projection
dimensionality-reduction visualization machine-learning
Language:C++ 238
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 220
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 216
DANMF
benedekrozemberczki / DANMF
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
autoencoder cikm clustering community-detection coordinate-descent danmf data-science deep-learning deepwalk dimensionality-reduction embedding gemsec machine-learning mnmf nmf node-embedding node2vec sklearn unsupervised-learning word2vec
Language:Python 206
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 202
TorchDR / TorchDR
TorchDR - PyTorch Dimensionality Reduction
dimensionality-reduction python manifold-learning optimal-transport affinity-matrix
Language:Python 167
dimkastan / PyTorch-Spectral-clustering
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
diffusion-distance diffusion-maps laplacian-maps graph-cut fiedler-vector pytorch-tutorial pytorch-demo pytorch-numpy sorting-distance-matrix dimensionality-reduction pytorch
Language:Python 163
fcomitani / simpsom
Python library for Self-Organizing Maps
clustering dimensionality-reduction kohonen python self-organizing-map
Language:Python 163
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 160
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 158
TatevKaren / mathematics-statistics-for-data-science
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.
bootstrap canonical-correlation clustering data-imputation dimensionality-reduction factor-analysis-methods importance-sampling inverse-transform-method linear-regression monte-carlo-simulation pca-analysis probability-distribution python3 r regression-analysis rejection-sampling statistcal-tests
Language:R 155

dimensionality-reduction

lmcinnes / umap

seandavi / awesome-single-cell

tirthajyoti / Machine-Learning-with-Python

benedekrozemberczki / awesome-community-detection

kk7nc / Text_Classification

pavlin-policar / openTSNE

JustGlowing / minisom

benedekrozemberczki / datasets

cvxgrp / pymde

maykulkarni / Machine-Learning-Notebooks

KrishnaswamyLab / PHATE

PAIR-code / umap-js

JuliaStats / MultivariateStats.jl

jlmelville / uwot

beringresearch / ivis

GAA-UAM / scikit-fda

machenslab / dPCA

ardiya / siamesenetwork-tensorflow

yuki-koyama / mathtoolbox

dpeerlab / Palantir

koba-jon / pytorch_cpp

iqiukp / KPCA-MATLAB

drewwilimitis / Manifold-Learning

syamkakarla98 / Hyperspectral_Image_Analysis_Simplified

PacktWorkshops / The-Data-Science-Workshop

wilsonjr / humap

danaugrs / go-tsne

snrazavi / Machine_Learning_2018

benedekrozemberczki / DANMF

YttriLab / B-SOID

TorchDR / TorchDR

dimkastan / PyTorch-Spectral-clustering

fcomitani / simpsom

msmbuilder / msmbuilder

jgraving / selfsne

TatevKaren / mathematics-statistics-for-data-science