Top 71 pca open source projects

Implement face recognition using PCA, LDA and LPP
Pca Magic
PCA that iteratively replaces missing data
📊 Computation and processing of models' parameters
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
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 Now almost entirely superseded by the models-by-example repo.
Machine Learning In R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Svm Classification Localization
HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
🏗 Statistical models for biomolecular dynamics 🏗
Isl Python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Explore high-dimensional datasets and how your algo handles specific regions.
Randomized Dimension Reduction Library
Half Size
Code for "Effective Dimensionality Reduction for Word Embeddings".
Patternrecognition matlab
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
Machine Failure Detection
PCA and DBSCAN based anomaly and outlier detection method for time series data.
A collection of Poisson lognormal models for multivariate count data analysis
Digital Image Processing Algorithms
SJTU CS386 Digital Image Processing
✭ 20
Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
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 factor analysis library (PCA, CA, MCA, MFA, FAMD)
A lean C++ library for working with point cloud data
quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.
Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
Principal component analysis (PCA) in Ruby
Linear image-to-image translation
Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.
R Package: Regularized Principal Component Analysis for Spatial Data
📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
AnnA Anki neuronal Appendix
Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)
1-60 of 71 pca projects