C++ DataFrame for statistical, financial, and ML analysis in modern C++

Data-mining and Visualization components for RAD Studio

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Lightweight C++ and Python interface for datasets in zarr and N5 format

BBoxDB is a scalable, highly available, and distributed data store for multi-dimensional big data. The software supports operations like multi-dimensional range queries and spatial joins. In addition, data streams are supported.

NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure

Multiple Frequency Estimation Under Local Differential Privacy in Python

Multidimensional arrays storage engine

Java Implementation of the R* Tree

A multidimensional spline interpolation by Google/JAX

Generic class for representation of 2D/3D...5D images with Matlab

Python Image Tool for visualizing multidimensional data. Applications include analysis of data in microscopy (STM, SSM, optics), ARPES, XRD, or other multidimensional datasets on regularly gridded coordinates.

Multidimensional cluster generation in Python

Visual Knowledge Discovery demo tools for interactively visualizing, exploring, and identifying complex n-D data patterns in multivariate CSV data, to visualize machine learning classifier models.

Multidimensional cluster generation in Julia

This repository contains files relating to PhD research completed in 2000 into the application of space-filling curves , especially the Hilbert Curve, in the storage and retrieval of multi-dimensional data from databases.

A neural network library written simply, efficiently and clearly. Supports convolutional NN.

This is a dimensionality reduction project in the course DD2470 Advanced Topics in Visualization and Computer Graphics at KTH Royal Institute of Technology, Stockholm (2024), made by Linnéa Gustafsson.

Build visual machine learning models with multidimensional general line coordinate visualizations by interactive classification and synthetic data generation tools.

Interactive management shell for Deker