dimensionality-reduction topic

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

dillondaudert

A Julia package for manifold learning and nonlinear dimensionality reduction

wildart

A JavaScript Library for Dimensionality Reduction

saehm

🤘 Map out your musical taste on Spotify with machine learning

sdimi

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

yanwu2014

Local Fisher Discriminant Analysis in R

terrytangyuan

R package for Distance Metric Learning

terrytangyuan

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

benedekrozemberczki

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

naver

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

benedekrozemberczki