Extensible, parallel implementations of t-SNE

Functional Data Analysis Python package

A Julia package for exponential family principal component analysis (E-PCA).

Easy genetic ancestry predictions in Python

Similarity measure useful for unsupervised data transformation quality assessment

TorchDR - PyTorch Dimensionality Reduction

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

Wavelet Scattering Transform applied for Geo Sciences.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Face Recognition Project using PCA and LDA Algorithms for Dimensionality Reduction

Visualization Tool for Mapping Out Researchers using Natural Language Processing

Experimenting with Singular Value Decomposition

The Jōyō Kanji Map

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

Alternance M2 - Détection automatique des séries de requêtes juridiques

PCA in c

Set of Questions, Explaining the Geometric interpretation of eigenvectors and eigenvalues.

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

Uniform Manifold Approximation and Projection