Uniform Manifold Approximation and Projection

AI Observability & Evaluation

JavaScript implementation of UMAP

An R package implementing the UMAP dimensionality reduction method.

Manage map and features with Leaflet and expose them for backend storage through an API.

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).

Seurat meets tidyverse. The best of both worlds.

PANDORA - Predictive Analytics aNd Data Oriented Research Applications 💻

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖➕📚🟰❤️

Uniform Manifold Approximation and Projection - R package

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

⛔ ARCHIVED ⛔ Wraps UMAP Algorithm for Dimension Reduction

This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data

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

A JavaScript Library for Dimensionality Reduction

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Tera Online 32-bit and 64-bit client package(*.gpk, *.gmp, *.upk, *.umap, *.u) editor/viewer

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

R package for dimensionality reduction of small datasets