dimensionality-reduction

There are 24 repositories under dimensionality-reduction topic.

lmcinnes / umap
Uniform Manifold Approximation and Projection
dimensionality-reduction machine-learning topological-data-analysis umap visualization
Language:Python 7940
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
3347
tirthajyoti / Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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
Language:Jupyter Notebook 3250
awesome-community-detection
benedekrozemberczki / awesome-community-detection
A curated list of community detection research papers with implementations.
bigclam clustering community-detection data-science deep-learning deepwalk dimensionality-reduction embedding factorization graph-clustering igraph machine-learning matrix-factorization network-analysis network-clustering network-science networkx node2vec social-network unsupervised-learning
Language:Python 2368
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 1820
pavlin-policar / openTSNE
Extensible, parallel implementations of t-SNE
dimensionality-reduction embedding machine-learning tsne visualization
Language:Python 1514
JustGlowing / minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
clustering dimensionality-reduction kohonen machine-learning manifold-learning neural-networks outlier-detection self-organizing-map som unsupervised-learning vector-quantization
Language:Python 1497
datasets
benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
benchmark community-detection data-science dataset deepwalk dimensionality-reduction gcn gnn graph-convolution graph-embedding graph-neural-network graph2vec link-prediction machine-learning network-analysis network-embedding network-science node-classification node-embedding node2vec
627
cvxgrp / pymde
Minimum-distortion embedding with PyTorch
embedding visualization feature-vectors machine-learning dimensionality-reduction graph-embedding pytorch cuda gpu
Language:Python 546
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 520
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 491
PAIR-code / umap-js
JavaScript implementation of UMAP
javascript umap dimensionality-reduction
Language:JavaScript 392
JuliaStats / MultivariateStats.jl
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
cca dimensionality-reduction ica isotonic-regression julia lda linear-regression mds multivariate-statistics ols-regression pca regression ridge-regression statistics
Language:Julia 382
jlmelville / uwot
An R package implementing the UMAP dimensionality reduction method.
dimensionality-reduction r umap
Language:R 342
beringresearch / ivis
Dimensionality reduction in very large datasets using Siamese Networks
machine-learning data-visualization dimensionality-reduction neural-network siamese-neural-network
Language:Python 332
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 321
machenslab / dPCA
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
dimensionality-reduction matlab python
Language:Jupyter Notebook 290
ardiya / siamesenetwork-tensorflow
Using siamese network to do dimensionality reduction and similar image retrieval
tensorflow siamese-network dimensionality-reduction image-retrieval
Language:Jupyter Notebook 285
yuki-koyama / mathtoolbox
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
algorithm bfgs dimensionality-reduction eigen gpr interpolation mds optimization rbf
Language:C++ 268
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 266
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++ 250
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 248
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 238
humap
wilsonjr / humap
Hierarchical Uniform Manifold Approximation and Projection
dimensionality-reduction visualization machine-learning
Language:C++ 233
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 232
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 226
snrazavi / Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
machine-learning regression classification logistic-regression neural-networks support-vector-machines clustering dimensionality-reduction pca recommender-system anomaly-detection python linear-regression supervised-learning unsupervised-machine-learning gradient-descent backpropagation
Language:Jupyter Notebook 215
danaugrs / go-tsne
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
go machine-learning dimensionality-reduction tsne visualization 3d unsupervised-learning data-science
Language:Go 214
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 203
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.
behavior-analysis deeplabcut dimensionality-reduction discover-behaviors neuroscience openpose sleap umap-hdbscan unsupervised-learning-algorithm
Language:Python 194
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 162
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
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 157
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 150
mcsorkun / ChemPlot
A python package for chemical space visualization.
chemical-space cheminformatics data-visualization dimensionality-reduction
Language:Jupyter Notebook 140

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

wilsonjr / humap

syamkakarla98 / Hyperspectral_Image_Analysis_Simplified

PacktWorkshops / The-Data-Science-Workshop

snrazavi / Machine_Learning_2018

danaugrs / go-tsne

benedekrozemberczki / DANMF

YttriLab / B-SOID

dimkastan / PyTorch-Spectral-clustering

fcomitani / simpsom

jgraving / selfsne

msmbuilder / msmbuilder

timsainb / ParametricUMAP_paper

mcsorkun / ChemPlot