scoring-engine
There are 2 repositories under scoring-engine topic.
- Language:Python 881
scoringengine / scoringengine
Scoring Engine for Red/White/Blue Team Competitions
Language:Python 118abs0lut3pwn4g3 / RTB-CTF-Framework
A fast, efficient and lightweight (~100 KB) Capture The Flag framework inspired by the HackTheBox platform. Built with Flask.
Language:Python 105- titus2Language:Python 23
DSU-DefSec / DWAYNE-INATOR-5000
Service uptime scoring engine for CCDC mock competitions. Written for DSU DefSec Club.
Language:Go 19kedwinchen / Linux-ScoringEngine
Scoring Engine for UNIX-like and/or GNU/Linux systems used in CTF and/or US AFA CyberPatriot-like competition events (Note: The AFA was not involved in the creation of, and does not endorse, this Software)
Language:Shell 8starkriedesel / ScoreEngine
CCDC Practice Engine created for SSIG @ SMU
Language:Ruby 8cool00geek / CyberTigerScoreboard
A scoring graph system, inspired by the official CyberPatriot Scoring engine
Language:Java 6elysium-suite / minos
A CyberPatriot-like NSMC scoring engine
Language:Python 6animator / orange3-scoring
:tangerine: :dart: Score PMML and PFA models in Orange3
Language:Python 2kavish5 / Fantasy-Score-Calculator
This is a service written in node js which calculates fantasy points/scores for a match. The industry of fantasy gaming in India is moving at a great pace where you can continuously find new apps promoting and catering to fantasy gaming (especially cricket) for its audience. With the boom which seems never-ending, I thought of an idea to have a common code base for the same to calculate the same team performance on various platforms. Most of the apps (as per current writing) do not have their own separate fantasy scoring logic or even if they have, they are just differentiated by points for actions and nothing else. For e.g. app A gives 1 point for 1 run whereas app B gives 0.5 points for 1 run for a batter. That's totally something someone can code in a proper generic way to fulfill all the common needs. Most of the apps currently follow the standards, set by the market owners i.e. Dream 11 and so I thought to have a code that can at least help a start-up or some ongoing apps to reuse the same logic in every way possible for their own use case.
Language:TypeScript 2JSON Machine Learning Model (JMLM) specification for deployment in Scoring Engines.
- epsoniaLanguage:TypeScript 1
- Language:Python 1
brisingr24 / Darts
Scoring system for playing darts irl
Language:Java 0- 0
Akshay-Rohatgi / horusSE
lightweight vulnerability remediation engine (Linux scoring engine)
Language:Python
