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Search results for high dimensional data
high-dimensional-data
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42 search results found
Minkowskiengine
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2,307
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Hypertools
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1,787
A Python toolbox for gaining geometric insights into high-dimensional data
Vald
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1,422
Vald. A Highly Scalable Distributed Vector Search Engine
Abess
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317
Fast Best-Subset Selection Library
Datamicroarray
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76
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
Dimred
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74
A Framework for Dimensionality Reduction in R
Tt_rnn
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74
Hdmedians
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45
High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.
Loon
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45
A Toolkit for Interactive Statistical Data Visualization
Hdnom
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36
Benchmarking and Visualization Toolkit for Penalized Cox Models
Scikit Hubness
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34
A Python package for hubness analysis and high-dimensional data mining
Ppmlhdfe
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28
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Embedr
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28
Statistical quality evaluation of dimensionality reduction algorithms
Newma
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24
Implementation of NEWMA: a new method for scalable model-free online change-point detection
Dive
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23
An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Embed-Dive.
Hub Toolbox Python3
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16
Hubness analysis and removal functions
Flinng
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15
A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing
Highdim
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14
Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
Corbinian
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14
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
Msaenet
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12
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
Dpa
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10
The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.
Sparsediscrim
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10
Sparse and Regularized Discriminant Analysis in R
D Cca
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9
A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)
Scmarker
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9
Marker gene selection from scRNA-seq data
Unsupervised_analysis
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9
A general purpose Snakemake workflow to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
Radviz
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9
A R package for multi-dimensional data visualization
Locus
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9
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
J3
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8
A free desktop application for producing and sharing high-dimensional, interactive scientific visualizations.
Htlr
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8
Bayesian Logistic Regression with Hyper-LASSO priors
Tsne Lib
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8
A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region
Deep Outlier Detection
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8
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
Revamping Firm Fixed Effects Models With Machine Learning
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7
The repository provides state-of-arts machine-learning approaches to revamping firm fixed effects models in finance studies.
Ds 503
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7
Course Webpage for DS503 being taught at IIT Bhilai
T Visne
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7
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
Pystatplottools
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7
Easy evaluation and plotting of statistical data and high-dimensional distributions in python - Fast generation, loading and storing of custom datasets.
Flash
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7
A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
Json Browse
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6
jQuery plugin to easily browse and highlight your JSON
Sled
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6
An R package for testing high-dimensional covariance matrices
Molic
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6
Multivariate Outlierdetection In Contingency Tables
Fpp
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6
Function preserving projection (FPP), a linear projection technique for capturing interpretable patterns of high-dimensional functions
Bcpm Msaenet
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5
Solution for the precisionFDA Brain Cancer Predictive Modeling Challenge using msaenet
Ohpl
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5
Ordered Homogeneity Pursuit Lasso for Group Variable Selection
1-42 of 42 search results
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