laplacian-eigenmaps 开源项目推荐（17 个）

drewwilimitis /Manifold-Learning

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

davisidarta /fastlapmap

Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.

peterparity /conservation-laws-manifold-learning

Discovering Conservation Laws using Optimal Transport and Manifold Learning

JAVI897 /Laplacian-Eigenmaps

Implemented Laplacian Eigenmaps

nileshkhetrapal /YassQueenDB

Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

jzavatoneveth /laplacian-eigenmaps

Spectral embedding using Laplacian Eigenmaps

PKU-ML /LaplacianCanonization

Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".

tejasnp163 /Dimensionality-Reduction-on-Wine-Dataset

Performed different tasks such as data preprocessing, cleaning, classification, and feature extraction/reduction on wine dataset.

PyDimRed /PyDimRed

A comparison between some dimension reduction algorithms

jasonfilippou /DimReduce

Implementations of 3 linear and non-linear dimensionality reduction algorithms

QGY-main /MRT-Network-Simulation-Dijkstra-graph

Passenger Flow Optimisation in the Singapore MRT network through Linear Algebra, Monte Carlo Simulation, Dijkstra's Algorithm, Graph Theory and Pareto Frontier Optimisation

msarrias /unsupervised-learning-algorithms

Implement some dimensionality reduction and clustering methods and reproduce results from different papers. FLAME clustering, Laplacian Eigenmaps, Spectral clustering...

GeorgeMLP /laplacian-canonization

Official code for NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".

jgurakuqi /graph-kernels-and-manifold-svm

This project aims to compare the performance obtained using a linear Support Vector Machine model whose data was first processed through a Shortest Path kernel with the same SVM, this time with data also processed by two alternative Manifold Learning techniques: Isomap and Spectral Embedding.

GeorgeMLP /basis-invariance-synthetic-experiment

Basis invariance synthetic experiment in Appendix D of NeurIPS 2023 paper "Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding".

RitabrataMandal /CS5691-Pattern-Recognition-and-Machine-Learning

This repository contains the assignments and tutorials for the course CS5671: Pattern Recognition and Machine Learning offered in the July–November 2025 semester. Instructor : Dr. Manikandan Narayanan

arjunsawhney1 /face-ML

In this repo, I demonstrate how simple Linear Algebra concepts can be utilized for powerful image element detection applications