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apachecn /ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

python nlp svm scikit-learn sklearn regression logistic dnn lstm pca rnn deeplearning kmeans adaboost apriori fp-growth svd naivebayes mahchine-leaning recommendedsystem

UpdatedNov 12, 2024
Python

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.

python java data-science machine-learning opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl

UpdatedMar 17, 2025
Jupyter Notebook

susanli2016 /Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

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

UpdatedMar 10, 2024
Jupyter Notebook

Visualize-ML /Book5_Essentials-of-Probability-and-Statistics

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

machine-learning statistics regression pca multivariate-statistics

UpdatedFeb 6, 2025
Jupyter Notebook

prince

MaxHalford /prince

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

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

UpdatedMar 9, 2025
Python

kzampog /cilantro

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

clustering point-cloud registration pca segmentation convex-hull k-means reconstruction mds ransac rgbd 3d 3d-visualization icp spectral-clustering convex mean-shift model-fitting iterative-closest-point non-rigid-registration

UpdatedAug 15, 2023
C++

thu-ml /ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

nes pca bim benchmark-framework evolutionary spsa boundary adversarial-machine-learning distillation fgsm adversarial-attacks deepfool adversarial-robustness mi-fgsm mmlda hgd

UpdatedOct 15, 2023
Python

h2oai /h2o4gpu

H2Oai GPU Edition

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

UpdatedOct 24, 2024
C++

parameters

easystats /parameters

📊 Computation and processing of models' parameters

bootstrap r ci parameters beta data-reduction feature-extraction pca confidence-intervals r-package pvalues regression-models hacktoberfest statistical-models fa feature-reduction standardize robust-statistics easystats standardized-estimates

UpdatedMar 14, 2025
R

JuliaStats /MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

statistics julia linear-regression regression pca dimensionality-reduction cca mds lda ridge-regression ols-regression isotonic-regression multivariate-statistics ica

UpdatedJun 5, 2024
Julia

jmartinezheras /2018-MachineLearning-Lectures-ESA

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

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

UpdatedSep 18, 2023
Jupyter Notebook

a-martyn /ISL-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

bootstrap machine-learning random-forest linear-regression statistical-learning supervised-learning pca logistic-regression boosting-algorithms lda islr bagging

UpdatedJul 20, 2024
Jupyter Notebook

erdogant /pca

pca: A Python Package for Principal Component Analysis.

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

UpdatedMar 2, 2025
Jupyter Notebook

Albertsr /Anomaly-Detection

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

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

UpdatedFeb 18, 2021
Python

moon-hotel /MachineLearningWithMe

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈出品

python machine-learning clustering svm naive-bayes machine-learning-algorithms kd-tree pca self-training gbdt ensemble-learning cart adaboost hca knn decision-tree-classifier svm-classifier hierarchical-clustering dbscan-clustering

UpdatedJan 16, 2025
Jupyter Notebook

steliosploumpis /Universal_Head_3DMM

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

universal regression registration face pca head gaussian-processes uhm eye 3dmm morphable universal-head-model complete-head-model head-shapes eye-model ear-model ear-shape

UpdatedAug 11, 2022

DanielMartensson /CControl

Using advanced control and computer vision techniques in an easy way for embedded

c machine-learning embedded-systems pca machinelearning control-systems lapack lda optimal-control computervision mkl systemidentification math-kernel-library

UpdatedFeb 25, 2025
C

allentran /pca-magic

PCA that iteratively replaces missing data

python data-science machine-learning pca

UpdatedJan 5, 2024
Python

wihoho /FaceRecognition

Implement face recognition using PCA, LDA and LPP

java pca face-recognition lda eigenfaces fisherfaces lpp

UpdatedNov 3, 2018
Java

not-pizza /victor

Web-optimized vector database (written in Rust).

wasm embeddings indexeddb pca vector-database

UpdatedFeb 27, 2025
Rust

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