Uniform Manifold Approximation and Projection

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

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.

create "Karpathy's style" 2d images out of your image embeddings

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

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.

represent each cell in UMAP plots as a pie chart

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

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

1000 Genomes Project population visualizations using dimensionality reduction

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

USUM: Plotting sequence similarity using USEARCH & UMAP & t-SNE

pytorch implementation of Deep Supervised Hashing

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

Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.

Shell and R wrapper scripts for Uniform Manifold Approximation and Projection (lmcinnes/umap) method

Making word clouds more interesting

[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

Interactive Active Learning Workflow - CML/ CDSW version