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dimension-reduction

Here are 133 public repositories matching this topic...

saini-dhiraj / Data-Dimension-Reduction

python3 t-sne dimension-reduction

Updated Jun 19, 2019
Jupyter Notebook

wangyi-fudan / npca

Neural Principal Component Analysis

neural-network data-visualization pca dimension-reduction

Updated Jan 26, 2020
C++

divyar2630 / Dimension-reduction-and-clustering

The objective of the project is to predict house sale price using Dimension reduction and Clustering.

pca mca ridge-regression kmedoids-clustering dimension-reduction gower

Updated Dec 28, 2020
Jupyter Notebook

ascillitoe / gaussian_flowfield_approx

Example code for the AIAA Scitech 2021 paper "Instantaneous Flowfield Estimation with Gaussian Ridges".

python machine-learning gaussian-processes dimension-reduction flowfield-estimation

Updated Jan 5, 2021
Python

barakavisar / TSNE

TSNE, dimensional reduction. High dimensional vectors view at lower space.

tsne dimension-reduction

Updated Dec 30, 2022
Python

kaledhoshme123 / Use-Conditional-Variational-Autoencoders-to-extract-important-information

The study relied on conditional Variational Autoencoders to generate x-ray images, so that we can be able to regenerate the images according to the most important information that the x-ray images can contain (important information extraction).

deep-learning classification autoencoder dimensionality-reduction convolutional-neural-networks dimension-reduction dec variational-autoencoder variational-autoencoders covid-19 covid19

Updated Jul 6, 2023
Jupyter Notebook

amanda-hartzler / PCA-Dimensionality-Reduction

PCA

python jupyter-notebook pca dimensionality-reduction dimension-reduction

Updated Nov 13, 2022
Jupyter Notebook

octaviamd / interactmapper

interactmapper is an interactive dimension reduction data visualization tool that facilitates the interpretation of relationships in big datasets

r dataviz pca umap dimension-reduction interactive-visualizations datavisualization

Updated Oct 6, 2019
R

Artificial-Intelligence

notjustinshaw / Artificial-Intelligence

An introduction to applied examples of machine learning and AI

python university-of-washington dimension-reduction hilbert-curves

Updated May 19, 2020
Python

shreyash0023 / PCA-Based-Image-Classifier-

Used PCA for dimension reduction of a 25x25 animal image dataset. After the feature extraction step, a KNN classifier to distinguish the images in a 3D plane (3PC extraction). PCA and KNN are implemented from scratch. Matplot is used for 3D visualization.

pca image-classifier knn dimension-reduction animal-dataset

Updated May 12, 2019
Python

My-TF-AutoEncoder

EtzionR / My-TF-AutoEncoder

Basic and Generic AutoEncoder for Multifunctional purposes

machine-learning deep-learning tensorflow cnn autoencoder convolutional-neural-networks embedding noise-reduction dimension-reduction anomaly-detection

Updated Nov 20, 2021
Python

haniye6776 / feature-engineering

The goal of this feature engineering project is feature reduction, feature selection and feature extraction.

visualization feature-selection feature-extraction sampling feature-engineering dimension-reduction

Updated Mar 10, 2024
Jupyter Notebook

dltkr77 / tensorflow-autoencoder

autoencoder implemented with tensorflow

visualization tensorflow mnist ae autoencoder dimension-reduction

Updated Jul 6, 2018
Python

SynStratos / dim-ae

Dimensionality Reduction Autoencoder built in TF Keras

autoencoder dimensionality-reduction autoencoders dimension-reduction keras-tf

Updated Apr 20, 2022
Python

charliezcr / PCA

Showcase of dimension reduction by Principal Component Analysis on banknote authentication dataset

python machine-learning pca dimension-reduction

Updated Jan 21, 2021
Jupyter Notebook

wecarsoniv / augmented-pca

Repository for the AugmentedPCA Python package.

machine-learning pca autoencoder dimensionality-reduction representation-learning autoencoders principal-component-analysis linear-models dimension-reduction factor-models adversarial-machine-learning adversarial-autoencoders factor-model adversarial-autoencoder fair-machine-learning supervised-autoencoder augmented-pca augmentedpca supervised-autoencoders

Updated Dec 5, 2021
Python

rafal-kaczmarek / UL_projects

Two projects for "Unsupervised Learning" course

data-science r clustering association-rules dimension-reduction english-language

Updated Jan 6, 2023
HTML

SoftWareAK / PastHires-Principle-Component-Analysis--Dimension-Reduction

principal-component-analysis dimension-reduction

Updated Aug 8, 2022
Jupyter Notebook

lingfeiwang / mda

Maximal Discriminating Axes

single-cell dimension-reduction

Updated Mar 18, 2021
Python

ktkimit / esubspace

The software is an implementation of the enriched subspace iteration method for solving the generalized eigenvalue problems.

linear-algebra dynamic-analysis dimension-reduction finite-element-methods eigenvalues-and-eigenvectors

Updated Oct 14, 2022
Fortran

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