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A GPU-based efficient data parallel formulation of the kNN problem
A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem which is a popular method for classifying objects in several fields of research, such as- pattern recognition, machine learning, bioinformatics etc.
BlueDS is a library that contains the implementation of frequently used data structures and algorithms in Computer Science. BlueDS is designed to be fast and efficient.
ExtraDix is a sorting algorithm based on Radixsort. It is faster than Quicksort, stable, realized in C and can sort by any basic data type. Testing was done with 1 million data records sorting char, short, int, long, float, double and strings.
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What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
SPLITNEURON is a completely new approach to large-scale, biologically plausible, neural-network simulation library based on data structures and methods directly coded into database and conceived to explicitly share load on multiple machines.
clibutils is collection of common data structures , This library supports any type, Following are the datastructures currently implemented.
1. Dynamic Array
2. Single Linked List
3. Heap
4. Map
4. Set.
This projects hosts the worlds fastest algorithms for the labeling of point-features. It especially looks for algorithms thar are free of constraints, applicable to many scenarios (e.g., visualization, maps...) and do not need any preprocessing.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Don't hard-code data-structures for Artificial Intelligence (AI). Evolve them (and control flow) as cycles of arrays in arrays with size constraints based on other array sizes (at specific index) in terms of range, multiply, exponent, or permutation. No working code yet. Whats there now is an extension of GigaLineCompile which would become part of Human AI Net, but there are other projects to finish before I can come back to this one.
C ADT(Abstract Data Types) is a simple template library written in C which implements commonly used abstract data structures, such as linked lists, trees, queues, stacks, hashes, graphs and associated algorithms.
A light-weight cross platform C++ library for console and file I/O, fast data structures and algorithms, CPU identification (CPUID), and sockets (TCP and UDP).
Ertha is an open source GIS whose main focus is to guarantee easy extensibility and straightforward integration of custom modules. It provides basic geographic rendering and topologic analysis and exposes the main data structures loaded from shapefiles.
Game Toolbox is a C# assembly designed to facilitate the creation of games and game prototypes. It contains no graphics code, does not depend on XNA, and is Mono-compatible. It provides implementations of A*, GOAP, a genetic algorithm, and more.
XPN is relies on a non relational native XML database, where XML documents are stored in a compressed form and indices enables fast access to structure and content, thus enabling a fast evaluation of XQuery queries.
Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
ARMR provides a foundation for creating an efficient in-memory database. Its unique list processing structures simplify programming logic and allow the developer to rapidly sort, group, and select data. Give your app a hypercard like capability.
An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.