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92 public repositories
matching this topic...
A Python toolbox for gaining geometric insights into high-dimensional data
Updated
May 1, 2020
Python
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Updated
Aug 19, 2020
Python
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
Updated
Mar 2, 2018
Python
Vald. A Highly Scalable Distributed Vector Search Engine
A Framework for Dimensionality Reduction in R
High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.
Updated
Nov 21, 2018
Python
A Toolkit for Interactive Statistical Data Visualization
Benchmarking and Visualization Toolkit for Penalized Cox Models
Implementation of NEWMA: a new method for scalable model-free online change-point detection
Updated
May 4, 2020
Python
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 .
Updated
Mar 12, 2018
HTML
Poisson pseudo-likelihood regression with multiple levels of fixed effects
Updated
Nov 13, 2019
HTML
A Python package for hubness analysis and high-dimensional data mining
Updated
Mar 17, 2020
Python
Hubness analysis and removal functions
Updated
May 20, 2020
Python
Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
Updated
Jan 21, 2018
MATLAB
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
Updated
Feb 14, 2020
MATLAB
Sparse and Regularized Discriminant Analysis in R
Marker gene selection from scRNA-seq data
Updated
May 22, 2020
HTML
Multi-step adaptive estimation for reducing false positive selection in sparse regressions
A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region
Updated
Jun 4, 2018
Python
Function preserving projection (FPP), a linear projection technique for capturing interpretable patterns of high-dimensional functions
Updated
Jul 18, 2020
Jupyter Notebook
A R package for multi-dimensional data visualization
jQuery plugin to easily browse and highlight your JSON
Updated
Feb 28, 2018
JavaScript
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
An R package for testing high-dimensional covariance matrices
Использование методов машинного обучения для прогнозирования инвестиций в России
A free desktop application for producing and sharing high-dimensional, interactive scientific visualizations.
Updated
Apr 19, 2017
Java
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
Updated
Jun 16, 2020
JavaScript
a GUI-based Interactive Multi-dimensional extensiBLe Visualization toolbox for Matlab
Updated
May 16, 2019
MATLAB
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Hello,
I'd like to use this package with extremely high-dimensional datasets, which aren't supported by glmnet because of its 4gb integer/array size limitation. Therefore I want to know how I can specify the initial state ("init" parameter of htlr() ) for the markov chain, and what format this variable can take.
For example, I would like to use the biglasso package on millions of features a