pca

There are 8 repositories under pca topic.

apachecn / ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
adaboost apriori deeplearning dnn fp-growth kmeans logistic lstm mahchine-leaning naivebayes nlp pca python recommendedsystem regression rnn scikit-learn sklearn svd svm
Language:Python 33786
h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
h2o machine-learning data-science deep-learning big-data ensemble-learning gbm random-forest naive-bayes pca opensource distributed java python r hadoop spark gpu automl h2o-automl
Language:Jupyter Notebook 5936
susanli2016 / Machine-Learning-with-Python
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
Language:Jupyter Notebook 3643
MaxHalford / prince
:crown: 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
Language:Python 846
kzampog / cilantro
A lean C++ library for working with point cloud data
point-cloud icp ransac convex-hull 3d-visualization k-means pca segmentation rgbd registration iterative-closest-point mds mean-shift spectral-clustering clustering non-rigid-registration convex model-fitting reconstruction 3d
Language:C++ 745
h2oai / h2o4gpu
H2Oai GPU Edition
gpu glm python cuda c-plus-plus cpu lasso elastic-net svd pca rstats r machine-learning
Language:Python 439
thu-ml / ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
adversarial-machine-learning benchmark-framework adversarial-attacks adversarial-robustness fgsm bim mi-fgsm deepfool nes spsa boundary evolutionary mmlda distillation hgd pca
Language:Python 340
parameters
easystats / parameters
:bar_chart: Computation and processing of models' parameters
pvalues parameters beta ci confidence-intervals r easystats standardize pca fa bootstrap statistical-models regression-models feature-reduction standardized-estimates feature-extraction data-reduction robust-statistics hacktoberfest r-package
Language:R 320
JuliaStats / MultivariateStats.jl
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
julia multivariate-statistics dimensionality-reduction ica lda mds pca statistics regression cca
Language:Julia 315
jmartinezheras / 2018-MachineLearning-Lectures-ESA
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
Language:Jupyter Notebook 311
wihoho / FaceRecognition
Implement face recognition using PCA, LDA and LPP
face-recognition pca eigenfaces fisherfaces lda lpp java
Language:Java 215
allentran / pca-magic
PCA that iteratively replaces missing data
pca python machine-learning data-science
Language:Python 201
Albertsr / Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
isolation-forest kernel-pca lof pulearning anomaly-detection principal-component-analysis intrusion-detection-system mahalanobis-distance pca-analysis semi-supervised-learning data-mining pca
Language:Python 185
dlab-berkeley / Machine-Learning-in-R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
machine-learning dlab-berkeley tutorial random-forest superlearner decision-trees xgboost lasso pca cluster
Language:CSS 172
Miscellaneous-R-Code
m-clark / Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
r stan jags matlab julia python bayesian mixed-models gaussian-processes factor-analysis pca em survival-analysis ordinal-regression probit irt mixture-model zip lasso-regression additive-models
Language:R 172
faridcher / ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning learning-curve pca linear-regression gradient-descent svm principal-component-analysis clustering neural-network k-means recommender-system classification regularization anomalydetection
Language:R 169
snrazavi / Machine_Learning_2018
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
Language:Jupyter Notebook 167
a-martyn / ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
machine-learning statistical-learning islr supervised-learning linear-regression logistic-regression random-forest boosting-algorithms bootstrap bagging pca lda
Language:Jupyter Notebook 164
HansRen1024 / SVM-classification-localization
HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
svm nms pso hog pca detection edgeboxes
Language:Python 164
erdogant / pca
pca is a python package to perform Principal Component Analysis and to create insightful plots.
3d-plot biplot explained-variance hotelling-t2 outliers pca principal-component-analysis
Language:Jupyter Notebook 156
luokn / ml
经典机器学习算法的极简实现
machine-learning python numpy algorithms adaboost gmm kmeans knn lda log logistic-regression naive-bayes pca perceptron svm decision-tree
Language:Python 144
steliosploumpis / Universal_Head_3DMM
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
3dmm complete-head-model ear-model ear-shape eye eye-model face gaussian-processes head head-shapes morphable pca registration regression uhm universal universal-head-model
144
msmbuilder / msmbuilder
:building_construction: Statistical models for biomolecular dynamics :building_construction:
molecular-dynamics python msmbuilder dimensionality-reduction hmm feature-extraction tica pca markov-model clustering analysis
Language:Python 131
tidybulk
stemangiola / tidybulk
Brings bulk and pseudobulk transcriptomics to the tidyverse
tidyverse tidy tidy-data bioconductor edger deseq2 transcriptomics pipe tibble gene-symbols bulk-transcriptional-analyses mds-dimensions ensembl-ids transcripts tsne pca redundancy entrez gsea differential-expression
Language:R 119
vyraun / Half-Size
Code for "Effective Dimensionality Reduction for Word Embeddings".
pca wordembedding nips-2017 glove fasttext
Language:Python 110
0011001011 / vizuka
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
Language:Python 104
dsgiitr / VisualML
Interactive Visual Machine Learning Demos.
tensorflow-js deep-learning visualizations machine-learning pca style-transfer vanishing-gradient svm logistic-regression autoencoder mlp-classifier
Language:CSS 104
erichson / ristretto
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
Language:Jupyter Notebook 104
bwlewis / irlba
Fast truncated singular value decompositions
svd pca principal-component-analysis singular-value-decomposition sparse-principal-components
Language:R 102
dongkwonjin / Eigenlanes
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
lane lane-detection svd pca roadlane deep-learning pytorch descroptor
Language:Python 95
ml_code
zlxy9892 / ml_code
A repository for recording the machine learning code
machine-learning deep-learning artificial-intelligence tensorflow sklearn scikit-learn keras nlp mnist cv knn svd logistic-regression decision-tree bayesian neural-network apriori clustering k-means pca
Language:Python 94
gsnet
lkeab / gsnet
Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape reconstruction with single RGB image as input.
eccv vehicle-pose-shape-reconstruction 3d-shape-reconstruction eccv2020 car-models car-shape 6dof-pose 3d-model key-points-detection pca-models vehicle-pose-estimation vehicle-keypoint car-keypoint vehicle-shape-reconstruction detectron2 apollo apollocar3d apolloscape autonomous-vehicles pca
Language:Python 91
erichson / rSVD
Randomized Matrix Decompositions using R
dimension-reduction svd principal-component-analysis probabilistic-algorithms cran randomized-algorithm singular-value-decomposition matrix-approximation pca
Language:R 82
COVID19-Literature-Clustering
MaksimEkin / COVID19-Literature-Clustering
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 articles.
covid-19 machine-learning clustering dimensionality-reduction tsne pca random-forest kmeans kaggle sklearn coronavirus kmeans-clustering principal-component-analysis bokeh classification sgd-classifier
Language:HTML 79
tracy-talent / curriculum
a repository for my curriculum project
mapreduce ner nlp bilstm-crf raft distributed-systems machine-learning svd pca isomap triangle-count invertedindex chart-parser golang tensorflow reinforcement-learning lda computational-theory
Language:Python 79
logancyang / loss-landscape-anim
Create animations for the optimization trajectory of neural nets
neural-nets optimization-trajectory loss-landscape pca pytorch pytorch-lightning
Language:Python 76

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