Showing 2 open source projects for "lottery prediction algorithm"

View related business solutions
  • Composable, Open Source Payments Platform Icon
    Composable, Open Source Payments Platform

    Build or enhance your payments stack, while maintaining control with an open-source, full-stack and modular infrastructure.

    Juspay's Payments Orchestration Platform offers a comprehensive product suite for businesses, including open-source payment orchestration, global payouts, seamless authentication, payment tokenization, fraud & risk management, end-to-end reconciliation, unified payment analytics & more. The company’s offerings also include end-to-end white label payment gateway solutions & real-time payments infrastructure for banks. These solutions help businesses achieve superior conversion rates, reduce fraud, optimize costs, and deliver seamless customer experiences at scale.
    Learn More
  • Free Website Monitoring Service | UptimeRobot Icon
    Free Website Monitoring Service | UptimeRobot

    The free online uptime monitoring service with an App is available for iOS and Android.

    With the Free Plan, you can monitor up to 50 URLs, check for a website's content (using the keyword monitor), ping your server or monitor your ports in 5-minute intervals. You can create a status page to showcase your uptime. SMS or Call alerts can be bought anytime.
    Learn More
  • 1
    DACO-algorithm

    DACO-algorithm

    A novel transcription factor complex prediction algorithm.

    Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    ExSTraCS

    ExSTraCS

    Extended Supervised Tracking and Classifying System

    This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB