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high-dimensional-data

Here are 157 public repositories matching this topic...

NVIDIA / MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

computer-vision deep-learning neural-network cuda high-dimensional-data pytorch convolutional-neural-networks auto-differentiation semantic-segmentation space-time spatio-temporal-analysis 3d-vision 3d-convolutional-network sparse-tensors sparse-convolution high-dimensional-inference trilateral-filter 4d-convolutional-neural-network minkowski-engine sparse-tensor-network

Updated Mar 5, 2024
Python

ContextLab / hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

visualization python time-series data-visualization high-dimensional-data topic-modeling data-wrangling text-vectorization

Updated Mar 19, 2024
Python

vald

vdaas / vald

Vald. A Highly Scalable Distributed Vector Search Engine

kubernetes golang distributed-systems cloud microservices high-performance vector high-dimensional-data nearest-neighbor-search cloud-native image-search approximate-nearest-neighbor-search ngt similarity-search image-search-engine vector-search-engine vald anng

Updated May 2, 2024
Go

abess

abess-team / abess

Fast Best-Subset Selection Library

python machine-learning r linear-regression scikit-learn high-dimensional-data feature-selection logistic-regression cox-regression principal-component-analysis classification-algorithm ordinal-regression poisson-regression sure-independence-screening multitask-learning sparse-principal-component-analysis robust-principal-component-analysis polynomial-algorithm best-subset-selection

Updated Apr 26, 2024
C++

Tuyki / TT_RNN

high-dimensional-data tensor-train tensor-train-layer tensor-train-rnn

Updated Mar 2, 2018
Python

ramhiser / datamicroarray

A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

machine-learning r cancer high-dimensional-data colon-cancer

Updated Jan 10, 2016
R

gdkrmr / dimRed

A Framework for Dimensionality Reduction in R

visualization quality-control framework r high-dimensional-data dimensionality-reduction manifold-learning

Updated Mar 21, 2023
R

daleroberts / hdmedians

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

python machine-learning statistics high-dimensional-data median

Updated Dec 18, 2021
Python

sergiocorreia / ppmlhdfe

Poisson pseudo-likelihood regression with multiple levels of fixed effects

stata high-dimensional-data fixed-effects separation poisson-regression

Updated Sep 7, 2021
HTML

great-northern-diver / loon

A Toolkit for Interactive Statistical Data Visualization

python data-science statistics exploratory-data-analysis data-visualization high-dimensional-data statistical-analysis tk data-analysis statistical-graphics interactive-visualizations interactive-graphics tcl-extension exploratory-analysis loon

Updated May 30, 2023
Tcl

lightonai / newma

Implementation of NEWMA: a new method for scalable model-free online change-point detection

python machine-learning timeseries paper high-dimensional-data hardware-acceleration change-point-detection

Updated May 4, 2020
Python

GuansongPang / deep-outlier-detection

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

deep-learning high-dimensional-data outlier-detection representation-learning few-shot-learning

Updated Nov 10, 2020
Python

VarIr / scikit-hubness

A Python package for hubness analysis and high-dimensional data mining

data-science machine-learning data-mining high-dimensional-data nearest-neighbor-search approximate-nearest-neighbor-search hubness

Updated Mar 31, 2022
Python

nanxstats / hdnom

🔮 Benchmarking and visualization toolkit for penalized Cox models

benchmark linear-regression high-dimensional-data survival-analysis penalized-cox-models nomogram-visualization

Updated Apr 26, 2024
R

ejohnson643 / EMBEDR

Statistical quality evaluation of dimensionality reduction algorithms

high-dimensional-data dimensionality-reduction dimension-reduction scrna-seq-analysis high-dimension-visualization

Updated Aug 21, 2023
Jupyter Notebook

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/Em…

high-dimensional-data web-application manifold-learning interactive-visualizations 3d-data embedded-data non-linear-dimensionality-reduction

Updated Mar 12, 2018
HTML

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.

python scikit-learn high-dimensional-data clustering-algorithm non-parametric-density-estimation hierarchy-visualization

Updated Dec 30, 2021
Jupyter Notebook

mackelab / CorBinian

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

Updated Jul 26, 2021
MATLAB

OFAI / hub-toolbox-python3

Hubness analysis and removal functions

machine-learning data-mining high-dimensional-data hubness

Updated Apr 11, 2023
Python

JoshEngels / FLINNG

A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing

high-dimensional-data nearest-neighbor-search locality-sensitive-hashing group-testing

Updated Dec 9, 2023
C++

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