PRVHASH - Pseudo-Random-Value Hash. Hash functions, PRNG with unlimited period, randomness extractor, and a glimpse into abyss. (inline C/C++) (Codename Gradilac/Градилак)
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Updated
Jan 4, 2024 - C
PRVHASH - Pseudo-Random-Value Hash. Hash functions, PRNG with unlimited period, randomness extractor, and a glimpse into abyss. (inline C/C++) (Codename Gradilac/Градилак)
The most random module on npm
Homework 2 for CSE-380 Spring 2023
Very fast, high-quality hash function, discrete-incremental and streamed hashing-capable (non-cryptographic, inline C/C++) 26GB/s + PRNG
Random Pro is a simple generator for generating random numbers, letters, for all kinds of disputes, for dice games, for getting answers and flipping coins!
This project is to implement a combination lock on the FPGA board using VHDL language and finite state machine. There are some possible solutions are provided to address the problems including debounce, random number generation and combination check.
🎡 Get a random number.
loosely port of rubystats to crystal with bugfixes
transform an ill-conditioned quadratic matrix to a positive semidefinite matrix
A Basic but useful Software to make Raffles, maintaining randomness and equity with all participants and preventing cheating
ρμ - a Java library of Randomization enHancements and Other Math Utilities
Auto mouse clicker - for games like Roblox
generate uniform, normal, and exponential random deviates using algorithms from Marsaglia
Optimal approximate sampling from discrete probability distributions
Simple site that uses javascript to simulate 1v1 dice roll
Simple random number guessing game generated with Javascript. You have a total of 10 attempts
simulate a simple game where 30 players roll a die 300 times and keep track of their rolls. The game ends when all players have the same number.
Random picker wheel designed to simulate the spinning of a wheel, similar to a game of chance, to help users make random selections or decisions.
Statistical tests for random dice-rolling programs
Tool that simulates two-dimensional sample distribution based on a sample defined mesh
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