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A fluent PHP random key generator.
This Mersenne Twister is a fast pseudo-random number generator (PRNG) in C++
Provably fair implementation done in javascript.
Robust estimations from distribution structures: III. Non-asymptotic
A seeded pseudo-random number generator for JavaScript.
Generate a cryptographically secure pseudo random token of digits with n-length
Genetics (Initialization, Selection, Crossover, Mutation)
Pseudo random image generator
Matlab utilities functions for generating Pseudo random m-sequences ( PRMS and PRBS)
Mersenne Twister version 4.1 — A high quality pseudorandom number generator for C# programmers
Tools for development & test of PHY communication layer
python crypto functions
A Pseudo-Random Noise Sequence Generator VHDL implementation to synthesize on a Zync FPGA for the Digital Systems Design course of University of Pisa, 2019.
通过8位线性移位寄存器伪随机序列生成 ---Cryptography lab
A small experiment with the Haskell distributed-process library
Statistically Significant Pseudo Random Data
:lock: use your Trezor device to create an encrypted hash of an input message
Very quickly scramble (shuffle?) a range of integers via a linear feedback shift register implementation. Thrilling 😐
For the final project of CEE/MAE M20, this script simulates a self-parking car that navigates from the left edge to the closest parking spot in a lot of 20 rows (10 on top and 10 on bottom). The parked cars that populate the lot are filled in pseudorandomly, ranging from 1 to 19 cars. It further generates an animation at 30 frames per second for 10 seconds, where the first frame of the video displays the car's initial position (in UCLA blue) and final destination (in red) along with its travel path. The travel path always consists of three segments: a horizontal segment, quarter-circle rotation, and vertical path to the lot after completing its rotation.
A minimal package for Linear Shift Registers and Linear Congruential Generators
Random Passoword Generator Using Pseudo-Random Function
Randish is a thread-safe random number generator library in Go, providing distinct random sequences with a unique seeding approach based on a mix of system and context-specific elements. It offers singleton and array-based pseudo-random number generation, ensuring high performance and randomness across different contexts and systems.