Projects in Awesome Lists tagged with dimensionality-reduction

https://github.com/lmcinnes/umap

Uniform Manifold Approximation and Projection

dimensionality-reduction machine-learning topological-data-analysis umap visualization

Last synced: 29 Sep 2024

https://github.com/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

Last synced: 26 Sep 2024

https://github.com/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

Last synced: 07 Aug 2024

https://github.com/kk7nc/text_classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 30 Sep 2024

https://github.com/kk7nc/Text_Classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 01 Aug 2024

https://github.com/pavlin-policar/opentsne

Extensible, parallel implementations of t-SNE

dimensionality-reduction embedding machine-learning tsne visualization

Last synced: 01 Oct 2024

https://github.com/pavlin-policar/openTSNE

Extensible, parallel implementations of t-SNE

dimensionality-reduction embedding machine-learning tsne visualization

Last synced: 01 Aug 2024

https://github.com/JustGlowing/minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

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

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 01 Aug 2024

https://github.com/cvxgrp/pymde

Minimum-distortion embedding with PyTorch

cuda dimensionality-reduction embedding feature-vectors gpu graph-embedding machine-learning pytorch visualization

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 01 Aug 2024

https://github.com/beringresearch/ivis

Dimensionality reduction in very large datasets using Siamese Networks

data-visualization dimensionality-reduction machine-learning neural-network siamese-neural-network

Last synced: 01 Aug 2024

https://github.com/jlmelville/uwot

An R package implementing the UMAP dimensionality reduction method.

dimensionality-reduction r umap

Last synced: 05 Aug 2024

https://github.com/GAA-UAM/scikit-fda

Functional Data Analysis Python package

alignment classification clustering curves dimensionality-reduction functional-data-analysis functions machine-learning python python3 registration regression scikits smoothing statistics visualization

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 03 Aug 2024

https://github.com/wilsonjr/humap

Hierarchical Uniform Manifold Approximation and Projection

dimensionality-reduction machine-learning visualization

Last synced: 02 Aug 2024

https://github.com/drewwilimitis/Manifold-Learning

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

dimensionality-reduction isomap laplacian-eigenmaps locally-linear-embedding manifold-learning multidimensional-scaling python spectral-embedding

Last synced: 02 Aug 2024

https://github.com/danaugrs/go-tsne

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

3d data-science dimensionality-reduction go machine-learning tsne unsupervised-learning visualization

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 26 Sep 2024

https://github.com/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

Last synced: 31 Jul 2024

https://github.com/ganguli-lab/twpca

🕝 Time-warped principal components analysis (twPCA)

dimensionality-reduction neuroscience principal-components time-warp

Last synced: 07 Aug 2024

https://github.com/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 pytorch-implementation unsupervised-machine-learning

Last synced: 03 Aug 2024

https://github.com/lmcinnes/enstop

Ensemble topic modelling with pLSA

dimensionality-reduction matrix-factorization plsa topic-modeling

Last synced: 02 Aug 2024

https://github.com/saehm/DruidJS

A JavaScript Library for Dimensionality Reduction

clustering dimensionality-reduction fastmap isomap javascript-library lle ltsa matrix mds pca t-sne umap unsupervised-learning

Last synced: 02 Aug 2024

https://github.com/yanwu2014/swne

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

bioinformatics data-visualization dimensionality-reduction nonnegative-matrix-factorization single-cell-analysis single-cell-atac-seq single-cell-genomics single-cell-rna-seq statistical-methods

Last synced: 01 Aug 2024

https://github.com/mcsorkun/ChemPlot

A python package for chemical space visualization.

chemical-space cheminformatics data-visualization dimensionality-reduction

Last synced: 02 Aug 2024

https://github.com/benedekrozemberczki/walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

deep-learning deepwalk dimensionality-reduction dont-walk-skip edge-prediction embedding gensim graph-convolution graph-embedding graph-mining graph-neural-networks graphlet machine-learning multiscale node-classification node-embedding node2vec walklet word-embedding word2vec

Last synced: 01 Aug 2024

https://github.com/maksimekin/covid19-literature-clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

bokeh classification clustering coronavirus covid-19 dimensionality-reduction kaggle kmeans kmeans-clustering machine-learning pca principal-component-analysis random-forest sgd-classifier sklearn tsne

Last synced: 26 Sep 2024

https://github.com/wildart/ManifoldLearning.jl

A Julia package for manifold learning and nonlinear dimensionality reduction

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

Last synced: 04 Aug 2024

https://github.com/benedekrozemberczki/BANE

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

bane deepwalk diff2vec dimensionality-reduction embedding factorization fscnmf gemsec graph graph2vec icdm lane line musae node node2vec svd tadw tridnr word2vec

Last synced: 01 Aug 2024

https://github.com/davisidarta/topometry

Systematically learn and evaluate manifolds from high-dimensional data

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

Last synced: 02 Oct 2024

https://github.com/xarray-contrib/xeofs

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

climate-science dask dimensionality-reduction eof-analysis pattern-recognition pca xarray

Last synced: 08 Aug 2024

https://github.com/terrytangyuan/lfda

Local Fisher Discriminant Analysis in R

dimensionality-reduction distance-metric-learning machine-learning metric-learning r statistics

Last synced: 31 Jul 2024

https://github.com/gdkrmr/dimRed

A Framework for Dimensionality Reduction in R

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

Last synced: 05 Aug 2024

https://github.com/benedekrozemberczki/SINE

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

aane asne deep-learning deepwalk dimensionality-reduction gensim graph-embedding grarep machine-learning network-embedding networkx node-embedding node2vec pytorch sklearn tadw tensorflow torch unsupervised-learning walklets

Last synced: 01 Aug 2024

https://github.com/jlmelville/smallvis

R package for dimensionality reduction of small datasets

dimensionality-reduction largevis r t-sne umap

Last synced: 02 Aug 2024

https://github.com/frjnn/bhtsne

Parallel Barnes-Hut t-SNE implementation written in Rust.

barnes-hut bhtsne data-science data-visualization dimensionality-reduction machine-learning rust similarity-measures

Last synced: 04 Aug 2024

https://github.com/alexisbcook/tsne

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

dimensionality-reduction python python-3-5 python-3-6 python3 tsne tsne-algorithm

Last synced: 28 Sep 2024

https://github.com/stat-ml/ncvis

Noise-Contrastive Visualization

dimensionality-reduction machine-learning ncvis visualization

Last synced: 01 Aug 2024

https://github.com/wilsonjr/ClusterShapley

Explaining dimensionality results using SHAP values

cluster-formation dimensionality-reduction explainable-ai explainable-ml explanations machine-learning visualizations

Last synced: 02 Aug 2024

https://github.com/KellerJordan/tSNE-Animation

Hacking sklearn's t-SNE implementation to animate embedding process

animation dimensionality-reduction t-sne tsne-animation

Last synced: 02 Aug 2024

https://github.com/davisidarta/dbMAP

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

denoising diffusion-process dimensionality-reduction graph-layout high-dimensional machine-learning nearest-neighbors single-cell umap visualization

Last synced: 05 Aug 2024

https://github.com/dlab-berkeley/Unsupervised-Learning-in-R

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

clustering dimensionality-reduction glrm hdbscan isolation-forests latent-class-analysis umap unsupervised-learning

Last synced: 02 Aug 2024

https://github.com/hendersontrent/theft

R package for Tools for Handling Extraction of Features from Time series (theft)

data-visualisation data-visualization dimensionality-reduction machine-learning r time-series

Last synced: 01 Aug 2024

https://github.com/xzhoulab/DRComparison

Comparison of dimensionality reduction methods

dimensionality-reduction single-cell-analysis

Last synced: 03 Aug 2024

https://github.com/davisidarta/fastlapmap

Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.

denoising dimensionality-reduction embedding feature-engineering laplacian-eigenmaps machine-learning multithreading python scikit-learn

Last synced: 29 Sep 2024

https://github.com/grtlr/uapca

Uncertainty-aware principal component analysis.

dimensionality-reduction hacktoberfest machine-learning uncertainty visualization

Last synced: 02 Aug 2024

https://github.com/x3042/exactodereduction.jl

Exact reduction of ODE models via linear transformations

differential-equations dimensionality-reduction julia ode ode-model

Last synced: 29 Sep 2024

https://github.com/mpimd-csc/morgen

morgen - Model Order Reduction for Gas and Energy Networks

digital-twin dimensionality-reduction euler-equations gas-dynamics gas-flow gas-network gas-network-simulation gas-transport gasmor matlab model-order-reduction model-reduction morgen natural-gas octave

Last synced: 02 Aug 2024

https://github.com/gszep/flowatlas.jl

an interactive explorer for flow cytometry data

annotation clustering cytometry dimensionality-reduction flowjo interactive-visualizations julia single-cell

Last synced: 30 Sep 2024

https://github.com/wecarsoniv/augmented-pca

Repository for the AugmentedPCA Python package.

adversarial-autoencoder adversarial-autoencoders adversarial-machine-learning augmented-pca augmentedpca autoencoder autoencoders dimension-reduction dimensionality-reduction factor-model factor-models fair-machine-learning linear-models machine-learning pca principal-component-analysis representation-learning supervised-autoencoder supervised-autoencoders

Last synced: 02 Aug 2024

https://github.com/basiralab/Kaggle-BrainNetPrediction-Toolbox

A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.

brain-connectivity-evolution brain-network connectome-prediction data-preprocessing dimensionality-reduction kaggle-competition machine-learning predictive-learning regression-models

Last synced: 02 Aug 2024

https://github.com/Tianguistengo/MLexperiments-research-computervision-climatechange

Machine Learning experiments and research

climate-data computer-vision deep-learning dimensionality-reduction interpretability python pytorch satellite-imagery scientific-research transfer-learning

Last synced: 03 Aug 2024

https://github.com/torchdr/torchdr

TorchDR - PyTorch Dimensionality Reduction

dimensionality-reduction python

Last synced: 29 Sep 2024

https://github.com/harsha-vardhan-tangudu/machine-learning-intrusion-detection-system

ML project based on intrusion detection system trained dataset

bagging-ensemble boosting-algorithms decision-trees dimensionality-reduction ensemble-model feature-engineering feature-selection ids intrusion-detection-system ipynb-jupyter-notebook machine-learning ml ml-project random-forest supervised-learning unsupervised-learning xgboost-algorithm

Last synced: 27 Sep 2024

https://github.com/theodedeken/dimdrop

Dimensionality reduction using Neural Networks

dimensionality-reduction keras machine-learning-algorithms ml python

Last synced: 30 Sep 2024

https://github.com/ondrejhruby/fashion-mnist

Machine Learning Project: Fashion MNIST Classification using Random Forest and PCA for dimensionality reduction.

classification computer-vision data-processing dimensionality-reduction fashion-mnist feature-extraction image-classification machine-learning machine-learning-algorithms pca pca-analysis python random-forest scikit-learn

Last synced: 29 Sep 2024

https://github.com/rmitsch/tapas

Assisted hyperparameter optimization for t-SNE in a word embedding context.

dimensionality-reduction hyperparameter-optimization t-sne visualization word-embeddings

Last synced: 02 Oct 2024

https://github.com/aaaastark/graph-convolution-network-with-dimensional-redaction-and-differential-algorithms-python

Graph Convolution Network GCN with Dimensional Redaction and Differential Algorithms using Python

cora differential-evolution dimensionality-reduction gcn gcn-architecture ipython matplotlib networkx numpy pandas pubmad pymoo python sklearn stellargraph tensorflow

Last synced: 28 Sep 2024

https://github.com/zhiwu-zhang-lab/genetic_spectral_autoencoder

This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data

auto-encoder auto-encoders autoencoder autoencoders dimensionality-reduction genetics genomics gwas keras machine-learning machine-learning-algorithms nir nonlinear population-structure spectral-analysis spectral-clustering unsupervised unsupervised-clustering unsupervised-learning unsupervised-machine-learning

Last synced: 29 Sep 2024

https://github.com/cego669/dirtycategoriesencoding

Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.

category clustering dimensionality-reduction dirty hierarchical-clustering machine-learning scikit-learn singular-value-decomposition svd

Last synced: 26 Sep 2024

https://github.com/vi/csvdimreduce

Command-line tool to run a dimensionality reduction algorithm on CSV files

cli command-line-tool csv csv-files data-science data-visualization dimension-reduction dimensionality-reduction

Last synced: 01 Oct 2024

https://github.com/rmitsch/tale-backend

Dimensionality reduction for multiples objectives utilizing visual parameter space analysis.

dimensionality-reduction machine-learning python

Last synced: 02 Oct 2024

https://github.com/rmitsch/tale-frontend

DROP frontend.

crossfilter dcjs dimensionality-reduction javascript machine-learning

Last synced: 02 Oct 2024