gd-vae/gd-vae

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

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friendly/Vis-MLM-book

Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R"

Language: TeX - Size: 240 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 2

friendly/candisc

Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

Language: R - Size: 30.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 16 - Forks: 4

LUK4S-B/IsUMap

IsUMap is a tool for manifold learning, dimension reduction and data visualization

Language: Python - Size: 675 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 8 - Forks: 2

ai-on-browser/ai-on-browser.github.io

Machine learning and data analysis package implemented in JavaScript and its online demo.

Language: JavaScript - Size: 20.8 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 16 - Forks: 4

katiana22/latent-deeponet

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Language: Python - Size: 3.54 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 58 - Forks: 16

cantinilab/scconfluence

A novel method for single-cell diagonal integration: scConfluence

Language: Python - Size: 4.72 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 19 - Forks: 0

joshloyal/sliced

sliced: scikit-learn compatible sufficient dimension reduction

Language: Python - Size: 3.9 MB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 21 - Forks: 10

altunenes/asap-rs

Zero-dependency Rust implementation of ASAP (Automatic Smoothing for Attention Prioritization) for Time Series

Language: Rust - Size: 47.9 KB - Last synced at: 7 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

iSEE/iSEE

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

Language: R - Size: 17.9 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 225 - Forks: 43

hippylib/hippyflow

Dimension reduced surrogate construction for parametric PDE maps

Language: Python - Size: 162 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 37 - Forks: 7

erichson/rSVD

Randomized Matrix Decompositions using R

Language: R - Size: 27.5 MB - Last synced at: 8 days ago - Pushed at: about 4 years ago - Stars: 99 - Forks: 25

parashardhapola/scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Language: Python - Size: 32.8 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 100 - Forks: 12

corybrunson/ordr

manage ordinations and render biplots in a tidyverse workflow

Language: R - Size: 97.6 MB - Last synced at: 29 days ago - Pushed at: about 2 months ago - Stars: 23 - Forks: 5

erichson/ristretto

Randomized Dimension Reduction Library

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 25 days ago - Pushed at: about 4 years ago - Stars: 115 - Forks: 26

AsadiAhmad/Image-Classification-LDA-and-PCA

Image Classification with Perceptron and LDA and PCA dimension reduction

Language: Jupyter Notebook - Size: 481 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 26 - Forks: 0

erichson/spca

Sparse Principal Component Analysis (SPCA) using Variable Projection

Language: R - Size: 16.9 MB - Last synced at: 7 days ago - Pushed at: about 7 years ago - Stars: 68 - Forks: 10

markovmodel/deeptime

Deep learning meets molecular dynamics.

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 178 - Forks: 40

chasedehan/BoostARoota

A fast xgboost feature selection algorithm

Language: Python - Size: 693 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 221 - Forks: 38

BallisticLA/RandBLAS

A header-only C++ library for sketching in randomized linear algebra

Language: C++ - Size: 5.14 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 84 - Forks: 9

vi/csvdimreduce

Command-line tool to run a dimensionality reduction algorithm on CSV files

Language: Rust - Size: 50.8 KB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

Westlake-AI/DMT-learn

An Explainable Deep Network for Dimension Reduction

Language: Python - Size: 15.4 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 6 - Forks: 0

Richardbnk/Generative_AI

Study for Generative AI

Language: Python - Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ChenTaHung/GMM-Visualization

An interactive toolkit for visualizing GMM convergence in 3D/2D, featuring PCA for dimensionality reduction, K-means++ initialization, and covariance regularization for stability.

Language: Python - Size: 39 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

milescsmith/ReductionWrappers 📦

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

Language: R - Size: 5.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 37 - Forks: 4

pcastellanoescuder/POMA

:package: Omics Data Analysis Tools

Language: R - Size: 40.7 MB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 11 - Forks: 5

gramian/hapod 📦

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

Language: MATLAB - Size: 26.4 KB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 4

friendly/ggbiplot Fork of vqv/ggbiplot

A ggplot2 based biplot for principal components-like methods

Language: HTML - Size: 6.58 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 12 - Forks: 0

JBris/multivariate_analysis_examples

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

Language: Python - Size: 40 KB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 18 - Forks: 3

wecarsoniv/augmented-pca

Repository for the AugmentedPCA Python package.

Language: Python - Size: 63 MB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 10 - Forks: 0

HS-Ansbach-CCS/dyca

Dynamical Component Analysis Python Code

Language: Jupyter Notebook - Size: 6.58 MB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

juliahaas1/Stat-764-Exam-1

This project based exam deals with multiple datasets relating to Amtrack. Substantial data cleaning and organizing was done in excel format to acheive a format that could be easily read into python.

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Orestouio/Algorithmic-Software-Development

Algorithmic problem-solving project using autoencoders for dimension reduction, nearest neighbor search algorithms, and K-means clustering. Developed as part of a university course on software development for algorithmic problems.

Language: C++ - Size: 2.39 MB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

kevin931/CytofDR

A Python package for dimension reduction and evaluation workflows with CyTOF data.

Language: Python - Size: 1.16 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 0

kisungyou/Rdimtools

Dimension Reduction and Estimation Methods

Language: R - Size: 90.4 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 52 - Forks: 10

feiyoung/DR.SC

DR.SC: Joint dimension reduction and spatial clustering for single-cell/spatial transcriptomics data

Language: C++ - Size: 42.9 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

jElhamm/Singular-Value-Decomposition-Data-Mining

"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."

Language: Jupyter Notebook - Size: 271 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vishal815/Linear-Algebra-and-PCA-Visualizations-code-and-Solved-Numerical-Notes

Explore Linear Algebra & PCA. Python PCA visualizations for dimensionality reduction. Solved 2x2 & 3x3 matrix problems for practical understanding. Ideal for learners & professionals. Strengthen your math skills today!

Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

areeba0/Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN

the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosine similarity, visualizing results with line plots, 3D scatter plots, & confusion matrices to demonstrate classifier performance.

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

lisitsyn/tapkee

A flexible and efficient С++ template library for dimension reduction

Language: C++ - Size: 1.25 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 231 - Forks: 58

voidism/ML2018SPRING

NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

Language: Python - Size: 605 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 7

derohde/Fred

A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.

Language: C++ - Size: 558 KB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 8

evrial/PCA-dimensionality-reduction

Minimal PCA library based on numpy and examples of practical dimensionality reduction use of the principal components in ETF market analysis.

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

LaurentVeyssier/Customer-Marketing-segmentation-with-Machine-Learning

Use unsupervised machine learning tools to segment credit card customers

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 6

divy-kangeyan/t-SNE

Size: 225 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

haniye6776/feature-engineering

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

Language: Jupyter Notebook - Size: 233 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

spsandy101/Housing-Prices-Prediction

Predict the prices of houses based on certain geographical and other factors.

Language: R - Size: 3.47 MB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 0

speegled/cpbaywave

Bayesian Wavelet Change Point Detection

Language: R - Size: 3.83 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 2

saini-dhiraj/Data-Dimension-Reduction

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

sheetalkalburgi/dimension-reduction-clustering-analysis-on-housing-data

Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Aravind8281/Dimensional_Learning

Dimensional learning refers to a paradigm in machine learning and artificial intelligence where models are designed to understand and process data in multiple dimensions or features

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davpinto/fastknn

Fast k-Nearest Neighbors Classifier for Large Datasets

Language: R - Size: 8.83 MB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 67 - Forks: 18

ynsgkturk/DimensionReductionTool

Heuristic Dimension Reduction using K-nn and comparison.

Language: Python - Size: 197 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

McGill-MiCM/MiCM_Winter2020

This repository contains all the materials of the 2020 MiCM Winter Workshop Series.

Size: 927 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Keefe-Murphy/IMIFA

Infinite Mixtures of Infinite Factor Analysers

Language: R - Size: 21.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

Taabannn/intro-ml

This repository has been created just for warm-up in machine learning and there are my simulation files of UT-ML course HWs.

Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ammahmoudi/COVID-19-Autoencoder

Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data

Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yas-sim/face-feature-visualization

This program demonstrates how to plot face feature vectors on a 2-D chart using t-SNE method to compress dimension of the vectors

Language: Python - Size: 408 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

gramian/emgr 📦

emgr -- EMpirical GRamian Framework

Language: MATLAB - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 4

SanyaGoyal/Allstate-Insurance-Predicting-Claim-Severity-Xgboost-ML

This is a solution to a Kaggle competition on predicting claim severity for Allstate Insurance using the Extreme Gradient Boosting (XgBoost) algorithm in R

Language: R - Size: 17.1 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 8

fengyang95/tiny_ml

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Language: Python - Size: 2.9 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 202 - Forks: 33

jonzia/Manifold

Manifold mapping with ISOMAP (MATLAB).

Language: MATLAB - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Emmanuel-R8/SMBinning

Scoring Modeling and Optimal Binning

Language: R - Size: 346 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

ejohnson643/EMBEDR

Statistical quality evaluation of dimensionality reduction algorithms

Language: Jupyter Notebook - Size: 46.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 28 - Forks: 2

hanfei1986/Dimension-reduction-by-dropping-high-VIF-features-recursively

This Jupyter notebook demonstrates a dimension reduction method by dropping high variance-inflation-factor (VIF) features recursively.

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

soumenca/An-Efficient-Gaussian-Kernel-Based-Fuzzy-Rough-Set-Approach-for-Feature-Selection

An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection

Language: R - Size: 275 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 9 - Forks: 3

ktkimit/esubspace

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

Language: Fortran - Size: 74.2 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

lingfeiwang/mda

Maximal Discriminating Axes

Language: Python - Size: 138 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

alexaapo/Autoencoder-Dimensionality-Reduction

Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset

Language: C++ - Size: 16.1 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

popolee0513/Statistical-Learning-Theory-and-Applications

NTU-IM 5044

Language: Jupyter Notebook - Size: 71.7 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sajjadkarimi91/SLDR-supervised-linear-dimensionality-reduction-toolbox

A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA

Language: MATLAB - Size: 471 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ankaMkheidze/Navigating-Complexity-Thesis

This repository contains code used to create Paper "Navigating Complexity: Evaluating the Effectiveness of Dimension Reduction and Clustering Approaches on Challenging Datasets" as a Bachelor's thesis for EUR.

Language: R - Size: 10.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gramian/morgen Fork of mpimd-csc/morgen

morgen - Model Order Reduction for Gas and Energy Networks

Language: MATLAB - Size: 7.66 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

saramille/Breast-cancer-Data-analysis

This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.

Language: Jupyter Notebook - Size: 466 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

rmoffitt/GeneSetMatch

A tool for deep statistical analyses and informative visualizations of complex -omic data

Language: HTML - Size: 189 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

armanbarghi/Dastgah-Classification-in-Persian-Music

Dastgah classification of Persian traditional music dataset using dimension reduction via PCA and LDA from the extracted features by SVM, KNN, and Random Forest classifiers, and Implementing clustering using K-Means and K-Medoids.

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

shadw77/Airline-delay-cause-project

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mamomen1996/R_CS_10

Dimension Reduction in R

Language: HTML - Size: 632 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

fuheihei/weka_experiment

weka experiment NJU SE 降维、分类、聚类

Language: Java - Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Westlake-AI/inv-ML

[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction

Language: Python - Size: 8.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

ALYAMBR/GDR

Algorithm for interpretable dimension reduction via symbolic regression on genetic programming

Language: Python - Size: 32.2 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

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).

Language: Jupyter Notebook - Size: 3.96 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

sliao7/CSE6740_Computational_Data_Analysis

All the course work of supervised and unsupervised algorithms and projects.

Language: Jupyter Notebook - Size: 123 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 4

mainkoon81/Study-09-MachineLearning-E

**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)

Language: Jupyter Notebook - Size: 827 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 6

fszymanski13/clustering-dimension_reduction

Application of PCA and K-means algorithms using R on FIFA19 data set.

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behnamy2010/Image-Compression-Kmeans

Image compression with Kmeans clustering

Language: Jupyter Notebook - Size: 833 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

crypto-code/Latent-Space-Visualization

Visualize the Latent Space of an Autoencoder using matplotlib

Language: Python - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

mlesnoff/rchemo

R package for regression and discrimination, with special focus on chemometrics and high-dimensional data (This package is only maintained. The new current package is "Jchemo", under construction in Julia language)

Language: R - Size: 3.53 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 2

dksifoua/Stock-Market-Prediction

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

Language: Jupyter Notebook - Size: 415 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 8

DalalAL-Alimi/IDA

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

HH197/Unsupervised-cell-population-identification

Unsupervised cell population identification using three steps: pre-processing, dimension reduction, and clustering.

Language: Jupyter Notebook - Size: 534 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

NourozR/Reconstruction-and-Compression-of-Color-Images

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

Language: Python - Size: 63.5 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 31 - Forks: 8

Yansf677/LAE-NN

Code for 'Using Labeled Autoencoder to Supervise Neural Network Combined with k-Nearest Neighbor for Visual Industrial Process Monitoring'

Language: Python - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

ericyang789/Parallel-Compute-Project

C implementation of t-SNE with parallelization optimization

Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

PyDimRed/PyDimRed

A comparison between some dimension reduction algorithms

Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

amacaluso/SSB-VAE

Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing: we investigate the robustness of hashing methods based on variational autoencoders to the lack of supervision, focusing on two semi-supervised approaches currently in use. In addition, we propose a novel supervision approach in which the model uses its own predictions of the label distribution to implement the pairwise objective. Compared to the best baseline, this procedure yields similar performance in fully-supervised settings but improves significantly the results when labelled data is scarce.

Language: Python - Size: 35 MB - Last synced at: 12 months ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 3

ascillitoe/eq-reduce

A dash app to perform data-driven dimension reduction with polynomials.

Language: Python - Size: 92.6 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

wangyi-fudan/npca

Neural Principal Component Analysis

Language: C++ - Size: 160 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

maxjr82/CECAM-MLQCDyn

This is a repository for the tutorial lecture about applications of unsupervised learning analyses for molecular dynamics data presented at the MLQCDyn school in Paris.

Language: Jupyter Notebook - Size: 38.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

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

Language: Jupyter Notebook - Size: 158 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0