There are 6 repositories under umap topic.
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.
Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖➕📚🟰❤️
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
:no_entry: ARCHIVED :no_entry: 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)
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
create "Karpathy's style" 2d images out of your image embeddings
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
(communications chemistry 2023) Highly accurate and large-scale collision cross section prediction with graph neural network for compound identification
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.
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
This repo contains a series of notebook to arrange cultural artifacts and explore patters in metadata. 🎨
Transform a corpus of text documents (any kind) into a map with different zoom levels and topics names to summarise sub corpus of similar docs.
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.