Projects in Awesome Lists tagged with high-dimensional
A curated list of projects in awesome lists tagged with high-dimensional .
https://github.com/angel-ml/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
high-dimensional machine-learning model online-learning parameter-server scala spark spark-streaming
Last synced: 07 Apr 2026
https://github.com/Angel-ML/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
high-dimensional machine-learning model online-learning parameter-server scala spark spark-streaming
Last synced: 26 Mar 2025
https://github.com/PKU-DAIR/Hetu
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
artificial-intelligence autograd data-science deep-learning deep-neural-networks distributed-systems distributed-training embeddings gpu high-dimensional machine-learning python state-of-the-art
Last synced: 20 Mar 2025
https://github.com/jupyterlab/jupyterlab-hdf5
Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality
hdf5 hdf5-dataset hdf5-filebrowser high-dimensional jupyter jupyterlab jupyterlab-2 jupyterlab-extension labextension
Last synced: 12 Apr 2025
https://github.com/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.
denoising diffusion-process dimensionality-reduction graph-layout high-dimensional machine-learning nearest-neighbors single-cell umap visualization
Last synced: 06 Mar 2026
https://github.com/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.
denoising diffusion-process dimensionality-reduction graph-layout high-dimensional machine-learning nearest-neighbors single-cell umap visualization
Last synced: 13 Jul 2025
https://github.com/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
Last synced: 07 Apr 2025
https://github.com/transbiozi/biomm
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
biomm dna-methylation elasticnetregression epigenomics gene-expression genomics go-pathway gwas high-dimensional kegg-pathway machine-learning omics phenotype-prediction random-forest svm transcriptomics
Last synced: 24 Feb 2026
https://github.com/schmidtjonathan/phdse.jl
Probabilistic high-Dimensional State Estimation
dynamical-systems filtering high-dimensional inference julia kalman-filter state-space state-space-model
Last synced: 14 Apr 2025
https://github.com/sandialabs/spokedartspublic
SpokeDarts sphere-packing sampling in any dimension. Advancing front sampling from radial lines (spokes) through prior samples.
high-dimensional high-dimensional-statistics poisson-disc-sampling poisson-disk-sampling sample-generation sample-methods sampling scr-2084 snl-science-libs spatial-statistics
Last synced: 02 May 2025
https://github.com/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
Last synced: 19 Apr 2025
https://github.com/egpivo/quantregglasso
R Package: Adaptively weighted group lasso for semiparametic quantile regression models
admm group-lasso high-dimensional quantile-regression r-package rcpp rcpparmadillo
Last synced: 29 Jun 2025
https://github.com/0xnu/phtree
PH-tree (Permutation Hierarchical Tree) implementation in Go.
golang high-dimensional phtree sparse
Last synced: 23 Sep 2025
https://github.com/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
Last synced: 07 May 2025
