Topic: "dimensionality"
KxSystems/mlnotebooks
Demonstration notebooks for Machine Learning
Language: Jupyter Notebook - Size: 47.8 MB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 63 - Forks: 46
jamesjcai/scGEAToolbox
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses
Language: HTML - Size: 918 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 26 - Forks: 10
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.
Language: Jupyter Notebook - Size: 56.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 4
BenjoCowley/DataHigh
DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
Language: MATLAB - Size: 2.32 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 7
quantumlib/TypedUnits
A fast units and dimensions library with support for static dimensionality checking and protobuffer serialization.
Language: Python - Size: 773 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 5 - Forks: 3
zAlweNy26/tools
Just a bunch of tools made in TypeScript.
Language: TypeScript - Size: 362 KB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
nmakes/curse-of-dimensionality
Code for the paper, "The Curse of Dimensionality: Inside Out", DOI = 10.13140/RG.2.2.29631.36006.
Language: Python - Size: 224 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0
stdlib-js/ndarray-base-shape
Return the shape of a provided ndarray.
Language: JavaScript - Size: 213 KB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
stdlib-js/ndarray-shape
Return the shape of a provided ndarray.
Language: JavaScript - Size: 300 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Francesco-Zeno-Costanzo/Monte-Carlo
montecarlo methods
Language: Python - Size: 22.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 177 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
evrial/PCA-dimensionality-reduction
Minimal PCA library based on numpy and examples of practical dimensionality reduction use of the principal components in ETF market analysis.
Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1
anuragithub/Dimensionality-Reduction-and-Visualization
Comparison of various Dimensionality Reduction techiniques and Visualization of the same.
Language: Python - Size: 1.37 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
Rrtk2/RRLab
RRLab is a growing collection of experimental techniques and quality-of-life tools born from years of hands-on data science, modeling, and exploration. Built as a personal lab bench in R, it reflects a constant search for better ways to understand high-dimensional data, test bold ideas, and streamline the grind of daily analysis.
Language: R - Size: 544 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 1
gitmuhammedalbayrak/MimLine
A Python project for generating and testing bipolar, multi-dimensional number sequences, representing scope and essence through layers of dimensions.
Language: Python - Size: 37.1 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
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.
Language: C++ - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
hrichharms/expansivity_estimation
Given a list of numbers in a file, estimates the dimensional expansivity of that dataset in a binary hamming space
Language: C - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
GabrielNakamura/talk-ufrj
My talk to UFRJ Ecology Graduate Program
Language: HTML - Size: 57.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
