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apachecn / AiLearning

9.1k

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Python Updated Mar 22, 2019

h2oai / h2o-3

3.9k

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Rando…

Java Updated Mar 22, 2019

susanli2016 / Machine-Learning-with-Python

1.1k

Python code for common Machine Learning Algorithms

linear-regression polynomial-regression logistic-regression decision-trees random-forest svm svr knn-classification naive-bayes-classifier kmeans-clustering hierarchical-clustering pca lda xgboost-algorithm

Jupyter Notebook Updated Mar 20, 2019

h2oai / h2o4gpu

255

H2Oai GPU Edition

gpu glm python cuda c-plus-plus cpu lasso elastic-net svd pca rstats r machine-learning

Python Updated Mar 22, 2019

MaxHalford / prince

217

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

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

Python Updated Mar 14, 2019

jmartinezheras / 2018-MachineLearning-Lectures-ESA

209

Machine Learning Lectures at the European Space Agency (ESA) in 2018

machinelearning machine-learning linear-regression support-vector-machines decision-trees random-forest neural-network deep-learning clustering pca anomaly-detection text-mining tf-idf topic-modeling lectures lecture-slides lecture-material lecture-videos

Jupyter Notebook Updated Mar 15, 2019

kzampog / cilantro

175

A lean C++ library for working with point cloud data

C++ Updated Feb 26, 2019

wihoho / FaceRecognition

168

Implement face recognition using PCA, LDA and LPP

face-recognition pca eigenfaces fisherfaces lda lpp java

Java Updated Nov 3, 2018

faridcher / ml-course-r

122

R code for the assignments of Ng's Coursera machine learning course

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

R Updated Jul 12, 2018

0011001011 / vizuka

96

Explore high-dimensional datasets and how your algo handles specific regions.

kmeans dbscan machine-learning t-sne tsne visualization data-visualization data-mining data-science pca self-organizing-map unsupervised-learning big-data 2d-space

Python Updated Jul 19, 2018

m-clark / Miscellaneous-R-Code

91

Code that might be useful to others for learning/demonstration purposes.

R Updated Oct 3, 2018

msmbuilder / msmbuilder

87

🏗 Statistical models for biomolecular dynamics 🏗

molecular-dynamics python msmbuilder dimensionality-reduction hmm feature-extraction tica pca markov-model clustering analysis

Python Updated Nov 24, 2018

bwlewis / irlba

65

Fast truncated singular value decompositions

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

R Updated Feb 12, 2019 1 issue needs help

HandsomeHans / SVM-classification-localization

63

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

svm nms pso hog pca detection edgeboxes

Python Updated Sep 7, 2018

yell / ml-mnist

60

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

data-augmentation deep-learning deep-neural-networks gaussian-processes k-nn kernel logistic-regression machine-learning mnist neural-network pca python rbm

Jupyter Notebook Updated Jun 10, 2018

erichson / rSVD

52

Randomized Matrix Decompositions using R

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

R Updated Nov 5, 2018

snrazavi / Machine_Learning_2018

46

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

machine-learning regression classification logistic-regression neural-networks support-vector-machines clustering dimensionality-reduction pca recommender-system anomaly-detection python linear-regression supervised-learning unsupervised-machine-learning gradient-descent backpropagation

Jupyter Notebook Updated Jan 10, 2019

zhengxwen / SNPRelate

43

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)

gds-format pca snp simd r bioinformatics

C++ Updated Feb 23, 2019

erichson / ristretto

42

Randomized Dimension Reduction Library

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

Python Updated Nov 9, 2018 1 issue needs help

PassByYou888 / zAnalysis

36

统计学工程应用，机器学习，模型呈现

learn pca lda sift hog feature analysis machine learn-pascal linux windows arm rasterization h264 yuv mpeg y4m bfgs

Pascal Updated Mar 2, 2019

vyraun / Half-Size

34

Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD Workshop.

pca wordembedding nips-2017 glove fasttext

Python Updated Jun 10, 2018

sdq / deepvis

31

machine learning algorithms in Swift

machine-learning kmeans unsupervised-learning pca lda hierarchical-clustering

Swift Updated Sep 2, 2017

hiroyuki-kasai / ClassifierToolbox

26

A MATLAB toolbox for classifier: Version 1.0.7

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

MATLAB Updated Jun 11, 2018

erichson / spca

24

Sparse Principal Component Analysis (SPCA) using Variable Projection

spca pca dimensionality-reduction dimension-reduction

R Updated Apr 7, 2018

tifabi / 100DaysOfMLCode

23

machine-learning machine-learning-algorithms machinelearning data-visualization pca

Jupyter Notebook Updated Aug 29, 2018

davpinto / ml-simulations

23

Animated Visualizations of Popular Machine Learning Algorithms

data-visualization machine-learning animation xgboost knn expectation-maximization pca kmeans rstats

R Updated Dec 30, 2016

Oslandia / osm-data-classification

20

OpenStreetMap Data Classification

openstreetmap luigi data-quality pca kmeans osm data-analysis machine-learning statistics

Python Updated Jan 4, 2019

zlxy9892 / ml_code

20

A repository for recording the machine learning code

Python Updated Jul 15, 2018

gbuesing / pca

19

Principal component analysis (PCA) in Ruby

pca principal-component-analysis ruby rubyml

Ruby Updated Jan 5, 2017

olgabot / cshl-singlecell-2017

19

Single Cell Analysis course at Cold Spring Harbor Laboratory 2017

singlecell single-cell bioinformatics machinelearning pca tsne scikit-learn matplotlib seaborn python jupyter-notebook

Jupyter Notebook Updated Oct 19, 2017

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Repositories 518