UmapUniform Manifold Approximation and Projection
Unsupervised-Learning-in-RWorkshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
dbMAPA 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.
UMAP.jlUniform Manifold Approximation and Projection (UMAP) implementation in Julia
Embeddings2Imagecreate "Karpathy's style" 2d images out of your image embeddings
ReductionWrappersR wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
umap-javaA Uniform Manifold Approximation and Projection (UMAP) library for Java, developed by Tag.bio in collaboration with Real Time Genomics.
AnnA Anki neuronal AppendixUsing machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
BEERBEER: Batch EffEct Remover for single-cell data
ParametricUMAP paperParametric 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).
scarfToolkit 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.