Awesome Open Source

Programming Languages

Search results for dimensionality reduction umap

dimensionality-reduction x

19 search results found

Uniform Manifold Approximation and Projection

Umap Js ⭐ 316

JavaScript implementation of UMAP

An R package implementing the UMAP dimensionality reduction method.

Uniform Manifold Approximation and Projection - R package

Umap.jl ⭐ 115

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Parametricumap_paper ⭐ 112

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).

Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)

A JavaScript Library for Dimensionality Reduction

Smallvis ⭐ 63

R package for dimensionality reduction of small datasets

Reductionwrappers ⭐ 32

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

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.

Unsupervised Learning In R ⭐ 12

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

Unsupervised_analysis ⭐ 9

A general purpose Snakemake workflow to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

A simple implementation of UMAP, TSNE and GDR across frameworks and libraries

2d_text_clustering ⭐ 8

Using word embeddings, TFIDF and text-hashing to cluster and visualise text documents

Flameplot ⭐ 7

flameplot is a python package for the quantification of local similarity across two maps or embeddings.

Wavemap_paper ⭐ 7

This repo allows for the complete reproduction, from processed data, of all the main and supplemental figures in the manuscript Non-linear Dimensionality Reduction on Extracellular Waveforms Reveals Physiological, Functional, and Laminar Diversity in Premotor Cortex.

Progressive Umap ⭐ 7

Progressive Uniform Manifold Approximation and Projection (EuroVis 2020, short paper)

1000 Genomes Project population visualizations using dimensionality reduction

1-19 of 19 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.