dimensionality
There are 17 repositories under dimensionality topic.
KxSystems/mlnotebooks
Demonstration notebooks for Machine Learning
jamesjcai/scGEAToolbox
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses
BenjoCowley/DataHigh
DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
rmojgani/PhysicsAwareAE
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
anuragithub/Dimensionality-Reduction-and-Visualization
Comparison of various Dimensionality Reduction techiniques and Visualization of the same.
quantumlib/TypedUnits
A fast units and dimensions library with support for static dimensionality checking and protobuffer serialization.
nmakes/curse-of-dimensionality
Code for the paper, "The Curse of Dimensionality: Inside Out", DOI = 10.13140/RG.2.2.29631.36006.
Smendowski/data-embedding-and-visualization
Visualization and embedding of large datasets using various Dimensionality Reduction (DR) techniques such as t-SNE, UMAP, PaCMAP & IVHD. Implementation of custom metrics to assess DR quality with complete explaination and workflow.
zAlweNy26/tools
Just a bunch of tools made in TypeScript.
evrial/PCA-dimensionality-reduction
Minimal PCA library based on numpy and practical examples of dimensionality reduction use of the principal components in ETF market analysis.
Francesco-Zeno-Costanzo/Monte-Carlo
montecarlo methods
stdlib-js/ndarray-base-shape
Return the shape of a provided ndarray.
stdlib-js/ndarray-shape
Return the shape of a provided ndarray.
GabrielNakamura/talk-ufrj
My talk to UFRJ Ecology Graduate Program
gitmuhammedalbayrak/MimLine
A Python project for generating and testing bipolar, multi-dimensional number sequences, representing scope and essence through layers of dimensions.
guillaumelauzier/Dimensionality_reduction_algorithms
Dimensionality reduction is the process of reducing the number of features or dimensions in a dataset. This can be useful for reducing the complexity of a dataset and making it easier to work with.
hrichharms/expansivity_estimation
Given a list of numbers in a file, estimates the dimensional expansivity of that dataset in a binary hamming space