9 projects for "mac o" with 2 filters applied:

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  • 1
    Javascript-Voronoi

    Javascript-Voronoi

    JS implementation of Fortune's algorithm to compute Voronoi cells

    This repository implements Steven Fortune’s algorithm (sweep-line method) for generating Voronoi diagrams in JavaScript, providing a performant browser-side solution for computational geometry of planar point sets. With this library you can feed a set of sites (points) and compute their Voronoi cells – the partition of the plane into regions closest to each site – in O(n log n) time. It’s especially useful in web UIs, visualizations, interactive maps, and generative-art contexts where you...
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  • 2
    Programming Accessory Kit

    Programming Accessory Kit

    PAK is a collection of library code to handle the overhead of coding

    PAK is a collection of library code to handle the overhead of coding things like read-write locks, reflective multithreaded programming and simple file io. This is a java library collection, please see my API below...
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  • 3

    Approximate Subgraph Matching Algorithm

    Approximate Subgraph Matching Algorithm for Dependency Graphs

    The subgraph matching problem (subgraph isomorphism) is NP-complete. Previously, we designed an exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach (http://esmalgorithm.sourceforge.net). We further designed an approximate subgraph matching (ASM) algorithm that is capable of detecting approximate subgraph matching based on a subgraph distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges respectively,...
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  • 4

    Exact Subgraph Matching Algorithm

    Exact Subgraph Matching Algorithm for Dependency Graphs

    The subgraph matching problem (subgraph isomorphism) is NP-complete. We designed a simple exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach. The total worst-case algorithm complexity is O(n^2 * k^n) where n is the number of vertices and k is the vertex degree. We have demonstrated the successful usage of our algorithm in three biomedical relation and event extraction applications: BioNLP 2011 shared tasks on event extraction, Protein-Residue...
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 5
    A portable in-place bitwise binary Fredkin trie algorithm which allows for near constant time insertions, deletions, finds, closest fit finds and iteration. Is approx. 50-100% faster than red-black trees and up to 20% faster than O(1) hash tables.
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  • 6
    webscool

    webscool

    Tcl library of packages focusing on functional principles

    Individual collection of operational Tcl packages which employ functional programming principles including currying and lambda expressions. Also set and monad structures and algorithms from Knuth, and a Chu Space Calculator with an efficient implementation of the -o implication operator which enumerates the continuous functions from one space to another.
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  • 7
    This is a series of *.java Classes for making programming tasks simpler, much like Apache Commons. Included in this src package is an Advanced Randomizer, TStringList Clone From Delphi, an Algorithem Class, and Method MultiTask Better than Runnables.
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  • 8
    A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
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  • 9
    A library to build and manipulate finite state automata, I/O automata, transducers and rational langagues in Java.
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