high-dimensional-data
There are 165 repositories under high-dimensional-data topic.
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
ContextLab/hypertools
A Python toolbox for gaining geometric insights into high-dimensional data
vdaas/vald
Vald. A Highly Scalable Distributed Vector Search Engine
abess-team/abess
Fast Best-Subset Selection Library
ramhiser/datamicroarray
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
gdkrmr/dimRed
A Framework for Dimensionality Reduction in R
daleroberts/hdmedians
High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.
sergiocorreia/ppmlhdfe
Poisson pseudo-likelihood regression with multiple levels of fixed effects
great-northern-diver/loon
A Toolkit for Interactive Statistical Data Visualization
GuansongPang/deep-outlier-detection
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
lightonai/newma
Implementation of NEWMA: a new method for scalable model-free online change-point detection
VarIr/scikit-hubness
A Python package for hubness analysis and high-dimensional data mining
nanxstats/hdnom
🔮 Benchmarking and visualization toolkit for penalized Cox models
ejohnson643/EMBEDR
Statistical quality evaluation of dimensionality reduction algorithms
mariaderrico/DPA
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.
epigen/unsupervised_analysis
A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
NLeSC/DiVE
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.
JoshEngels/FLINNG
A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing
mackelab/CorBinian
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
MNoorFawi/lshashing
python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data
OFAI/hub-toolbox-python3
Hubness analysis and removal functions
angeloschatzimparmpas/t-viSNE
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
brian-lau/highdim
Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
SuperXiang/High-Dimensional-Feature-Selection-of-Medical-Data
Feature Selection by Optimized LASSO algorithm
KChen-lab/SCMarker
Marker gene selection from scRNA-seq data
huangdonghere/SRCFS
MATLAB code for Unsupervised Feature Selection with Multi-Subspace Randomization and Collaboration (SRCFS) (KBS 2019)
ivan-pi/fortran-flann
Fortran bindings to the FLANN library for performing fast approximate nearest neighbor searches in high dimensional spaces.
ramhiser/sparsediscrim
Sparse and Regularized Discriminant Analysis in R
0xshreyash/tsne-lib
A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region
nanxstats/msaenet
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
acidjazz/json-browse
jQuery plugin to easily browse and highlight your JSON
Califrais/flash
A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
shu-hai/D-CCA
A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)
astro-informatics/QuantifAI
PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors
kravitsjacob/paxplot
Paxplot is a Python visualization library for parallel coordinate plots based on matplotlib.