83 Open source projects that are alternatives of or similar to pca

Maximum Covariance Analysis in Python

A MATLAB toolbox for classifier: Version 1.0.7

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Playing with MNIST. Machine Learning. Generative Models.

machine learning algorithms in Swift

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

R Package: Regularized Principal Component Analysis for Spatial Data

📊 Computation and processing of models' parameters

No description or website provided.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

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OCR Machine Learning in python

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).

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📊 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.

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Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

No description or website provided.

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

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

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Efficient similarity search and clustering for Ruby

Pan-sharpening in the Earth Engine code editor

PCA that iteratively replaces missing data

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

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

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 Now almost entirely superseded by the models-by-example repo.

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

Federated Principal Component Analysis Revisited!

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

system performance characterization tool based on linux perf

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Animated Visualizations of Popular Machine Learning Algorithms

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PCA and DBSCAN based anomaly and outlier detection method for time series data.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

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

Implementations of machine learning algorithm by Python 3

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

k-means clustering in Ruby

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

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

Interactive Visual Machine Learning Demos.

Ruby Scoring API for PMML