Top principal-component-analysis open source projects

NMFADMM

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Machine-Learning-and-Pattern-Recognition

Implementation of Machine Learning Algorithms

✭ 43

python machine-learning gaussian-mixture-models image-segmentation character-recognition bayesian-classifiers principal-component-analysis facial-reconstruction

mathematics-for-machine-learning-coursera

quizzes/assignments for mathematics for machine learning specialization on coursera

✭ 264

Jupyter Notebook python machine-learning linear-algebra coursera eigenvectors principal-component-analysis eigenvalues mathematics-machine-learning multivariable-calculus

pca

Principal component analysis (PCA) in Ruby

✭ 25

ruby pca principal-component-analysis rubyml

abess

Fast Best-Subset Selection Library

✭ 266

C++r python Cuda c CMake machine-learning linear-regression scikit-learn high-dimensional-data principal-component-analysis classification-algorithm polynomial-algorithm best-subset-selection

Reconstruction-and-Compression-of-Color-Images

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

✭ 30

python computer-vision image-processing principal-component-analysis dimension-reduction

random-fourier-features

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

✭ 50

python TeX Makefile machine-learning-algorithms pytorch support-vector-machines gaussian-processes principal-component-analysis

info-retrieval

Information Retrieval in High Dimensional Data (class deliverables)

✭ 33

Jupyter Notebook python svm embeddings neural-networks logistic-regression principal-component-analysis convex-optimization linear-discriminant-analysis kernel-trick

ClassifierToolbox

A MATLAB toolbox for classifier: Version 1.0.7

R-stats-machine-learning

Misc Statistics and Machine Learning codes in R

✭ 33

r machine-learning statistics neural-network random-forest clustering regression classification nearest-neighbors k-means decision-trees support-vector-machines hypothesis-testing principal-component-analysis

Reinforcement-Learning-Feature-Selection

Feature selection for maximizing expected cumulative reward

✭ 27

python r reinforcement-learning feature-selection greedy mdp principal-component-analysis mixed-factor-analysis feature-discretization

Handwritten-Names-Recognition

The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

✭ 54

Jupyter Notebook java ocr neural-networks restricted-boltzmann-machine character-recognition principal-component-analysis neuralnetwork handwriting-recognition multilayer-perceptron-network handwritten-text-recognition histogram-of-oriented-gradients handwritten-character-recognition

xmca

Maximum Covariance Analysis in Python

✭ 41

python correlation numpy xarray pca complex mca maximum rotation principal-component-analysis eof promax varimax maximum-covariance-analysis

Top 13 principal-component-analysis open source projects