🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes

A library to facilitate machine learning on multi-dimensional images.

Spatial index library with R*Tree, STR-Tree, Quadtree, CritBit, KD-Tree, CoverTree and PH-Tree

A Simple and Efficient Distributed Multidimensional BI Analysis Engine.

😎 Array functions that are similar JavaScript functions. Example: Push, Pop, Shift, Unshift, Sort, length, toString.

Recursively compare the difference between two multidimensional arrays in PHP

Super fast simple k-means implementation for unidimiensional and multidimensional data.

Atoti AutoPivot automatically creates in-memory OLAP cubes from CSV files, that you can explore from Excel, Tableau or using the embedded Atoti UI web frontend

Comparison-based Machine Learning in Python

A better implementation of a segment tree

Publish / Deploy a Tabular or Multidimensional Cube to SSAS or AAS

from 2D Visualization to 3D and even more dimensions.

Wavelets with adaptive recursive partitioning

Return the index offset specifying the underlying buffer index of the first iterated ndarray element.

Multidimensional Computer Adaptive Testing with the Shadow Testing routine

tensorflow implementation for 3D BPConvNet

C++ Header-Only Library for High-Performance Tensor-Vector Multiplication

ImageD is an image processing software designed for rapid prototyping and implementing algorithms and solutions for science, research and teaching. For more information see: https://davideilenstein.github.io/ImageD/index.html

GPU-accelerated engine for multi-dimensional cellular automata

A fast, flexible, and feature-rich interactive multidimensional cellular automaton simulator written in Rust