Ecosyste.ms: Repos

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GitHub topics: 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.

Language: Python - Size: 5.33 MB - Last synced: 13 days ago - Pushed: over 2 years ago - Stars: 22 - Forks: 1

PKU-ML/LaplacianCanonization

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

Language: Python - Size: 88.9 KB - Last synced: 27 days ago - Pushed: 5 months ago - Stars: 5 - Forks: 1

drewwilimitis/Manifold-Learning

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

Language: Jupyter Notebook - Size: 140 MB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 195 - Forks: 37

peterparity/conservation-laws-manifold-learning

Discovering Conservation Laws using Optimal Transport and Manifold Learning

Language: Jupyter Notebook - Size: 14 MB - Last synced: 7 months ago - Pushed: 9 months ago - Stars: 7 - Forks: 3

GeorgeMLP/laplacian-canonization

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

Language: Python - Size: 88.9 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

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".

Language: Python - Size: 5.86 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

jzavatoneveth/laplacian-eigenmaps

Spectral embedding using Laplacian Eigenmaps

Language: Matlab - Size: 8.79 KB - Last synced: 8 months ago - Pushed: over 5 years ago - Stars: 14 - Forks: 9

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.

Language: Jupyter Notebook - Size: 70.3 MB - Last synced: 8 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0

arjunsawhney1/face-ML

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

Language: Jupyter Notebook - Size: 528 KB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

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. 📚🧠🚀

Language: Python - Size: 56.6 KB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 12 - Forks: 0

jasonfilippou/DimReduce

Implementations of 3 linear and non-linear dimensionality reduction algorithms

Language: Python - Size: 48.3 MB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 3 - Forks: 1

JAVI897/Laplacian-Eigenmaps

Implemented Laplacian Eigenmaps

Language: Jupyter Notebook - Size: 2.5 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 15 - Forks: 5

PyDimRed/PyDimRed

A comparison between some dimension reduction algorithms

Language: Jupyter Notebook - Size: 25.8 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 3 - Forks: 2

tejasnp163/Dimensionality-Reduction-on-Wine-Dataset

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

Language: Jupyter Notebook - Size: 5.44 MB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 3 - Forks: 0

msarrias/unsupervised-learning-algorithms

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

Language: Jupyter Notebook - Size: 3.52 MB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 2 - Forks: 2

Related Keywords
laplacian-eigenmaps 15 spectral-embedding 8 dimensionality-reduction 6 manifold-learning 5 pca 5 isomap 5 machine-learning 4 gnn 3 positional-encoding 3 python 2 vector 1 vector-database 1 word2vec 1 cca 1 grassman-manifold 1 locality-sensitive-hashing 1 manifold-learning-algorithms 1 tensorflow 1 sentence-encoder 1 networkx 1 network-embedding 1 graph-neural-networks 1 graph-database 1 denoising 1 principal-component-analysis 1 stiefel-manifold 1 dimension-reduction 1 random-projection 1 eda 1 fda 1 kernel-pca 1 knn-classification 1 lda 1 lle 1 pca-analysis 1 t-sne 1 wine-dataset 1 flame 1 kmeans 1 embedding 1 feature-engineering 1 multithreading 1 scikit-learn 1 locally-linear-embedding 1 multidimensional-scaling 1 chaos 1 conservation-laws 1 diffusion-maps 1 integrable-systems 1 jax 1 optimal-transport 1 physics 1 wasserstein-distance 1 matlab 1 sparse-matrix 1 artificial-intelligence 1 graph-kernels 1 shortest-path-algorithm 1 sklearn 1 svm 1 eigenvectors 1 image-classification 1 image-recognition 1 linear-algebra 1 database 1 embeddings 1 graph 1