high-dimensional

There are 0 repository under high-dimensional topic.

Angel-ML / angel
A Flexible and Powerful Parameter Server for large-scale machine learning
machine-learning parameter-server spark scala model high-dimensional online-learning spark-streaming
Language:Java 6702
PKU-DAIR / Hetu
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
deep-learning distributed-systems distributed-training high-dimensional machine-learning gpu autograd data-science artificial-intelligence python deep-neural-networks embeddings state-of-the-art
Language:Python 233
varun-suresh / Clustering
Implements "Clustering a Million Faces by Identity"
clustering clustering-algorithm high-dimensional face-verification-experiment python3
Language:Python 134
jupyterlab / jupyterlab-hdf5
Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality
jupyterlab labextension jupyter jupyterlab-extension hdf5 jupyterlab-2 hdf5-filebrowser hdf5-dataset high-dimensional
Language:Jupyter Notebook 114
attcs / Octree
Octree/Quadtree/N-dimensional linear tree
geometry geometry-algorithms octree quadtree n-dimensions bounding-box range-search collision-detection knn knearest-neighbors cpp20 ray parallel high-dimensional cpp
Language:C++ 88
davisidarta / dbMAP
A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
dimensionality-reduction single-cell visualization high-dimensional diffusion-process machine-learning graph-layout umap nearest-neighbors denoising
Language:Python 45
dylanljones / lattpy
Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
bravais bravais-lattice computational-physics crystal high-dimensional lattice nearest-neighbors neighbors physics python solid-state-physics
Language:Python 36
ZewenShen / hdp
A numerical library for High-Dimensional option Pricing problems, including Fourier transform methods, Monte Carlo methods and the Deep Galerkin method
high-dimensional partial-differential-equations numerical-methods deep-learning option-pricing fast-fourier-transform monte-carlo
Language:Python 28
0la0 / psoViz
Particle Swarm Optimization Visualization
particle-swarm-optimization pso visualization high-dimensional
Language:Java 24
KonstantinRiedl / CBOGlobalConvergenceAnalysis
Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
classification consensus-optimization derivative-free-optimization global-optimization high-dimensional illustration machine-learning metaheuristics mnist non-convex-optimization numerical-analysis optimization
Language:MATLAB 17
BenjoCowley / DataHigh
DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
dimensionality reduction visualization high-dimensional population activity neural machine-learning dimensionality-reduction trajectories time-series
Language:MATLAB 14
transbioZI / BioMM
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
biomm phenotype-prediction omics high-dimensional machine-learning gwas gene-expression dna-methylation epigenomics genomics transcriptomics random-forest svm elasticnetregression kegg-pathway go-pathway
Language:HTML 14
LamNgo1 / cma-meta-algorithm
[TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
bayesian-optimization high-dimensional covariance-matrix-adaptation
Language:Python 11
tzanis-anevlavis / cis2m
Controlled Invariant Sets in Two Moves
control-systems linear-systems controlled-invariant-sets safety-critical controller-synthesis high-dimensional
Language:MATLAB 11
CY-dev / hqreg
Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
cran lasso elastic-net huber-loss-regression quantile-regression regularization-paths machine-learning-algorithms high-dimensional
Language:C 9
erdogant / flameplot
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
dimensionality-reduction embeddings high-dimensional pca python quantification tsne umap
Language:Python 8
haeran-cho / fnets
Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2024) for network estimation and forecasting of high-dimensional time series
time-series factor-models vector-autoregression forecasting network-estimation high-dimensional
Language:R 8
sunghoonhong / VI-GAIL
Video Input Generative Adversarial Imitation Learning
generative-adversarial-network hierarchical-reinforcement-learning high-dimensional imitation-learning inverse-reinforcement-learning reinforcement-learning
Language:Python 7
CY-dev / sparseSVM
Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization
lasso elasticnet svm machine-learning-algorithms high-dimensional regularization-paths cran
Language:C 6
liangzp / DP-Streaming-SCO
Official Implementation of On Optimal Private Online Stochastic Optimization and High Dimensional Decision Making
contextual-bandits differential-privacy high-dimensional online-convex-optimization online-learning statistics-learning stochastic-optimization streaming-data
Language:Jupyter Notebook 4
cateschi / High_dimensional_state_space_model
R codes and dataset for the estimation of the high-dimensional state space model proposed in the paper "A dynamic factor model approach to incorporate Big Data in state space models for official statistics" with Franz Palm, Stephan Smeekes and Jan van den Brakel.
econometrics time-series kalman-filter state-space high-dimensional factor-models high-dimensional-data google-trends unemployment official-statistics big-data
Language:R 3
KonstantinRiedl / PSOAnalysis
Numerical analysis of Particle Swarm Optimization (PSO) and numerical experiments demonstrating the practicability of the method
class classification derivative-free-optimization global-optimization high-dimensional illustration machine-learning metaheuristics non-convex-optimization numerical-analysis optimization particle-swarm-optimization
Language:MATLAB 3
Oncostat / biospear
Biomarker selection in penalized regression models
penalized-regression lasso r-package high-dimensional cox-regression prediction-model
Language:R 3
petroniocandido / ts_lsh
Locally Sensitive Hashing based embedding for High Dimensional Multivariate Time Series
high-dimensional locality-sensitive-hashing lsh multivariate-time-series multivariate-timeseries time-series time-series-embeddings timeseries
Language:Python 3
anhdanggit / nowcasting-google-queries
Replicate the results of nowcasting housing sales by Google Queries, using Bayesian Structural Time-Series Model (Choi & Varian, 2009, 2012).
high-dimensional google-search bayesian spike-and-slab time-series
Language:R 2
h-saadatmand / High-dimensional-Feature-Selection-SIFE-MATLAB
An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB
classification evolutionary-algorithms feature-selection gene-expression genetic-algorithm high-dimensional high-dimensional-data high-dimensionality matlab medical-application microarray-data set-based set-based-operators wrapper fuzzy-granulation integer-coded integer-coding
Language:MATLAB 2
hedigers / RandomForestTest
Random Forest Two Sample Testing
high-dimensional hypothesis-testing machine-learning random-forest statistics
Language:R 2
AnestisTouloumis / HDTD
Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.
bioconductor-package high-dimensional statistics
Language:C++ 1
egpivo / QuantRegGLasso
R Package: Adaptively weighted group lasso for semiparametic quantile regression models
group-lasso high-dimensional quantile-regression r-package rcpparmadillo admm rcpp
Language:R 1
JMcardenas / Towards-optimal-sampling-book
This is a repository associated with the chapter book "Towards optimal sampling for learning sparse approximations in high dimensions" by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360
compressed-sensing high-dimensional least-squares minimization-algorithm sampling-strategies sparse-approximations
Language:MATLAB 1
noirritchandra / Lamb
Codes for Chandra, et al. (2021+). Escaping the curse of dimensionality in Bayesian model based clustering. Please refer to the original paper for details https://arxiv.org/abs/2006.02700
clustering dirichlet-process high-dimensional bayesian rcpp
Language:C++ 1
Waschmann / q-OCSVM
A q-quantile estimator for high-dimensional distributions
quantile-estimation high-dimensional q-ocsvm
Language:Python 1
XZT008 / Standard-GP-is-all-you-need-for-HDBO
Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
bayesian-optimization bayesian-optimization-case-study high-dimensional optimization
Language:Python 1
YNU-NakataLab / MCEA-D
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems
multi-objective-optimization surrogate-assisted-optimization high-dimensional
Language:MATLAB 1
YNU-NakataLab / SFA-DE
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
high-dimensional multi-objective-optimization surrogate-assisted-optimization scalarization-function-approximation
Language:MATLAB 1
zabaras / bayesmultiscale
A Bayesian multiscale deep learning framework for flows in random media
deep-learning high-dimensional machine-learning multiscale neural-network pytorch
Language:Python 1

high-dimensional

Angel-ML / angel

PKU-DAIR / Hetu

varun-suresh / Clustering

jupyterlab / jupyterlab-hdf5

attcs / Octree

davisidarta / dbMAP

dylanljones / lattpy

ZewenShen / hdp

0la0 / psoViz

KonstantinRiedl / CBOGlobalConvergenceAnalysis

BenjoCowley / DataHigh

transbioZI / BioMM

LamNgo1 / cma-meta-algorithm

tzanis-anevlavis / cis2m

CY-dev / hqreg

erdogant / flameplot

haeran-cho / fnets

sunghoonhong / VI-GAIL

CY-dev / sparseSVM

liangzp / DP-Streaming-SCO

cateschi / High_dimensional_state_space_model

KonstantinRiedl / PSOAnalysis

Oncostat / biospear

petroniocandido / ts_lsh

anhdanggit / nowcasting-google-queries

h-saadatmand / High-dimensional-Feature-Selection-SIFE-MATLAB

hedigers / RandomForestTest

AnestisTouloumis / HDTD

egpivo / QuantRegGLasso

JMcardenas / Towards-optimal-sampling-book

noirritchandra / Lamb

Waschmann / q-OCSVM

XZT008 / Standard-GP-is-all-you-need-for-HDBO

YNU-NakataLab / MCEA-D

YNU-NakataLab / SFA-DE

zabaras / bayesmultiscale