Uniform Manifold Approximation and Projection
-
Updated
Aug 18, 2024 - Python
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.
A general purpose Snakemake workflow to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
represent each cell in UMAP plots as a pie chart
Using word embeddings, TFIDF and text-hashing to cluster and visualise text documents
1000 Genomes Project population visualizations using dimensionality reduction
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.
Making word clouds more interesting
[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction
Interactive Active Learning Workflow - CML/ CDSW version
A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions
Add a description, image, and links to the umap topic page so that developers can more easily learn about it.
To associate your repository with the umap topic, visit your repo's landing page and select "manage topics."