Search Results - RepositoryStats

478

1.4k

mit

45

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

python-ml neural-network numpy-exercises andrew-ng-course anomaly-detection andrew-ng-ml-course logistic-regression machine-learning-ex1 support-vector-machines coursera-machine-learning andrew-ng-machine-learning principal-component-analysis

Created 2017-03-21

13 commits to master branch, last one 4 years ago

prince MaxHalford

184

1.3k

mit

25

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

ca mca mfa pca svd famd pandas python procrustes scikit-learn factor-analysis correspondence-analysis multiple-factor-analysis principal-component-analysis multiple-correspondence-analysis

Created 2016-10-22

415 commits to master branch, last one about a month ago

abess abess-team

41

480

other

8

Fast Best-Subset Selection Library

r python scikit-learn cox-regression machine-learning feature-selection linear-regression multitask-learning ordinal-regression poisson-regression logistic-regression polynomial-algorithm best-subset-selection high-dimensional-data classification-algorithm sure-independence-screening principal-component-analysis robust-principal-component-analysis sparse-principal-component-analysis

Created 2020-12-20

2,762 commits to master branch, last one 3 months ago

Anomaly-Detection Albertsr

89

293

unknown

9

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

lof pca kernel-pca pulearning data-mining pca-analysis isolation-forest anomaly-detection mahalanobis-distance semi-supervised-learning intrusion-detection-system principal-component-analysis

Created 2018-09-24

662 commits to master branch, last one 3 years ago

pca erdogant

43

293

mit

5

pca: A Python Package for Principal Component Analysis.

pca biplot 3d-plot outliers hotelling-t2 explained-variance principal-component-analysis

Created 2020-01-11

459 commits to master branch, last one 7 days ago

Speech_Signal_Processing_and_Classification gionanide

64

242

mit

11

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem emplo...

nlp mfcc nltk isomap classifier kernel-pca speech-utterance speech-processing feature-extraction spectral-embedding spectral-clustering long-short-term-memory gaussian-mixture-models support-vector-machines locally-linear-embedding natural-language-processing linear-discriminant-analysis principal-component-analysis linear-prediction-coefficients

Created 2018-03-16

197 commits to master branch, last one about a year ago

morpheus-core zavtech

22

239

apache-2.0

19

The foundational library of the Morpheus data science framework

finance dataframe regression statistics datascience data-analysis data-analytics dataframe-library regression-models quantitative-finance statistical-analysis principal-component-analysis

Created 2017-06-28

97 commits to master branch, last one 6 years ago

Machine_Learning arnaldog12

63

219

mit

23

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

knn kmeans python adaboost regression naive-bayes decision-trees neural-network machine-learning feature-selection linear-regression logistic-regression polynomial-regression multilinear-regression redes-neurais-artificiais machine-learning-algorithms linear-discriminant-analysis principal-component-analysis

Created 2017-05-17

69 commits to master branch, last one 2 years ago

ml-course faridcher

148

173

unknown

15

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

pca svm k-means clustering classification learning-curve neural-network regularization anomalydetection gradient-descent machine-learning linear-regression recommender-system principal-component-analysis

Created 2016-04-15

46 commits to master branch, last one 6 months ago

irlba bwlewis

17

127

unknown

11

Fast truncated singular value decompositions

pca svd sparse-principal-components principal-component-analysis singular-value-decomposition

Created 2015-08-01

305 commits to master branch, last one about a year ago

fault-detection-for-predictive-maintenance-in-industry-4.0 lestercardoz11

40

119

unknown

3

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

svm kmeans python autoencoder ball-bearing random-forest isolation-forest jupyter-notebook lstm-autoencoder machine-learning gaussian-distribution predictive-maintenance artificial-neural-networks principal-component-analysis

Created 2020-04-29

17 commits to master branch, last one 3 years ago

ristretto erichson

26

116

gpl-3.0

9

Randomized Dimension Reduction Library

pca svd python lu-decomposition dimension-reduction matrix-approximation randomized-algorithm dynamic-mode-decomposition principal-component-analysis singular-value-decomposition nonnegative-matrix-factorization

Created 2017-05-18

183 commits to master branch, last one 3 years ago

Writing-Styles-Classification-Using-Stylometric-Analysis Hassaan-Elahi

31

102

mit

4

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

lexical-features k-means-clustering readability-scores authorship-analysis vocabulary-richness clustering-algorithm nlp-machine-learning plagiarism-detection stylometric-features self-archive-research authorship-attribution stylometric-techniques artificial-intelligence clustered-chunks-of-text writing-styles-detection writing-styles-extraction natural-language-processing principal-component-analysis unsupervised-machine-learning intrinsic-plagiarism-detection

Created 2018-07-03

20 commits to master branch, last one 4 years ago

random-fourier-features tiskw

21

99

mit

3

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

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

Created 2018-10-05

149 commits to main branch, last one about a month ago

rSVD erichson

25

98

unknown

11

Randomized Matrix Decompositions using R

pca svd cran dimension-reduction matrix-approximation randomized-algorithm probabilistic-algorithms principal-component-analysis singular-value-decomposition

Created 2015-11-08

104 commits to master branch, last one 3 years ago

COVID19-Literature-Clustering MaksimEkin

57

94

apache-2.0

11

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articl...

pca tsne bokeh kaggle kmeans sklearn covid-19 clustering coronavirus random-forest classification sgd-classifier machine-learning kmeans-clustering dimensionality-reduction principal-component-analysis

Created 2020-03-17

147 commits to master branch, last one 3 years ago

ClassifierToolbox hiroyuki-kasai

45

85

mit

6

A MATLAB toolbox for classifier: Version 1.0.7

pca spd src manifold subspace eigenfaces sparse-coding classification matlab-toolbox face-recognition covariance-matrix linear-regression dictionary-learning manifold-optimization support-vector-machines classification-algorithims symmetric-positive-definite linear-discriminant-analysis principal-component-analysis

Created 2017-06-29

64 commits to master branch, last one about a year ago

hoggorm olivertomic

25

82

bsd-2-clause

7

Explorative multivariate statistics in Python

statistics chemometrics multivariate-analysis explorative-statistics multivariate-statistics principal-component-analysis partial-least-squares-regression

Created 2016-06-12

267 commits to master branch, last one 3 years ago

Individualized_HRTF_Synthesis davircarvalho

7

64

gpl-3.0

5

Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry

synthesis neural-networks individualized-hrtfs principal-component-analysis

Created 2020-07-17

171 commits to master branch, last one about a year ago

pySPM scholi

34

64

apache-2.0

12

Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as iontof images(ITA, ITM and ITS).

afm sfm spm stm sxm bruker iontof python nanonis nanoscan tof-sims nanonis-sxm python-library image-processing principal-component-analysis

Created 2016-07-26

607 commits to master branch, last one 7 months ago

jlearn jonghough

13

57

mit

15

Machine Learning Library, written in J

j rbm lstm k-means learning clustering deep-learning knn-classifier machine-learning ensemble-learning gaussian-processes self-organizing-map gaussian-mixture-models hierarchical-clustering principal-component-analysis convolutional-neural-networks multilayer-perceptron-network restricted-boltzmann-machines

Created 2018-07-25

31 commits to master branch, last one about a year ago

synthia dmey

9

57

mit

3

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

Created 2020-03-01

59 commits to master branch, last one 2 years ago

xmca nicrie

16

55

mit

2

Maximum Covariance Analysis in Python

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

Created 2020-07-08

356 commits to main branch, last one about a year ago

FaceRecognitionUsing-PCA-2D-PCA-And-2D-Square-PCA Parveshdhull

23

50

apache-2.0

5

Implementation of PCA/2D-PCA/2D(Square)-PCA in Python for recognizing Faces: 1. Single Person Image 2. Group Image 3. Recognize Face In Video

pca 2d-pca python 2d-square-pca face-recognition two-dimensional-pca face-recognition-video facerecognitionproject face-recognition-python principal-component-analysis

Created 2019-02-07

32 commits to master branch, last one 3 years ago

Data-Science-Methods jbramburger

10

49

mit

2

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

matlab education spectrogram data-analysis lecture-notes fourier-series image-denoising delay-coordinates time-frequency-analysis dynamic-mode-decomposition linear-discriminant-analysis principal-component-analysis singular-value-decomposition independent-component-analysis

Created 2021-03-18

12 commits to main branch, last one 3 years ago

NMFADMM benedekrozemberczki

11

46

gpl-3.0

5

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