dimensionality-reduction topic
Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
ivis
Dimensionality reduction in very large datasets using Siamese Networks
uwot
An R package implementing the UMAP dimensionality reduction method.
umap-js
JavaScript implementation of UMAP
mathtoolbox
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
dPCA
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
KPCA-MATLAB
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
PyTorch-Spectral-clustering
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
selfsne
Self-Supervised Noise Embeddings (Self-SNE)