Search Results for "number prediction algorithm"

Showing 5 open source projects for "number prediction algorithm"

View related business solutions
  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
    Start Free
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • 1
    ncnn

    ncnn

    High-performance neural network inference framework for mobile

    ...It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including Classical CNN (VGG AlexNet GoogleNet Inception), Face Detection (MTCNN RetinaFace), Segmentation (FCN PSPNet UNet YOLACT), and more. ncnn is currently being used in a number of Tencent applications, namely: QQ, Qzone, WeChat, and Pitu.
    Downloads: 24 This Week
    Last Update:
    See Project
  • 2

    julian-day-calendar-1583

    Integer algorithms from J. Scaliger in 1583 for calendar date "math"

    ...He also devised an algorithm using integer calculations only to convert a date in the modern Gregorian calendar to a Julian Day Number and back again. Using Scaliger's algorithms, you can calculate the number of days between any two calendar dates by converting each date into its unique Julian Day Number and then finding the difference in days between them.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Advanced Trigonometry Calculator

    Advanced Trigonometry Calculator

    Precision Trigonometry: Advanced Calculator for Complex Math

    Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by the Portuguese Renato Alexandre dos Santos Freitas. Also author of...
    Leader badge
    Downloads: 12 This Week
    Last Update:
    See Project
  • 4
    LeetCode

    LeetCode

    Solutions to LeetCode by Go, 100% test coverage

    Aimed towards programming enthusiasts who want to improve algorithm capabilities through LeetCode, containing many algorithm questions. Most of them are real interview questions of Google, Facebook, LinkedIn, Apple, etc. and it always help to sharp our algorithm Skills. Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview.
    Downloads: 219 This Week
    Last Update:
    See Project
  • Business Automation Software for SMBs Icon
    Business Automation Software for SMBs

    Fed up with not having the time, money and resources to grow your business?

    The only software you need to increase cash flow, optimize resource utilization, and take control of your assets and inventory.
    Learn More
  • 5

    DGRLVQ

    Dynamic Generalized Relevance Learning Vector Quantization

    Some of the usual problems for Learning vector quantization (LVQ) based methods are that one cannot optimally guess about the number of prototypes required for initialization for multimodal data structures i.e.these algorithms are very sensitive to initialization of prototypes and one has to pre define the optimal number of prototypes before running the algorithm. If a prototype, for some reasons, is ‘outside’ the cluster which it should represent and if there are points of a different categories in between, then the other points act as a barrier and the prototype will not find its optimum position during training. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next