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Fully managed library providing various random number generators and distributions.
Python implementation of a symbolic execution of MT19937 and a solver for GF(2) matrices
Predict and Backtrack MT19937 PRNG by putting 32 * 624 bits generated numbers. Python "random" standard library uses mt19937, so we can easily crack it.
Implementing and breaking the MT19937 Mersenne Twister pseudorandom number generator
A Mersenne Twister Random Number Generator
A 32-bit Mersenne Twister pseudorandom number generator.
C++ benchmark for RNG headers
Mersenne Twister(MT19937) implementation in Rust
An MT19937 Mersenne Twister rng implementation, with the goal of being compatible with CPython's _random module.
Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Reconstructed revision history for the MT19937 Mersenne Twister PRNG by Makoto Matsumoto and Takuji Nishimura
Rubik's cube scramble generator written in C++
This is a test Rust program I made to learn how Rust works while implementing a bunch of random things for fun. Supports RNGs, printing the current time, and other things.
Configurable Mersenne Twister PRNG implementation written in TypeScript.
Seed a C++ random number engine with random seeds from std:random_device. Works with any engine that can be seeded with a seed sequence, including those in the C++ Standard Library.
High-performance 32- and 64-bit global-state (thread-unsafe) and thread-safe uniform pseudorandom number generators for C, C++ and Python. Provided as an installable package.
Mersenne Twister Generator - MT19937
pseudo random number generator by using 64 bits Mersenne Twister(MT19937).
Dart implementations of the Mersenne Twister pseudo-random number generator.
Reverse implementation of the MT19937 Mersenne Twister pseudorandom number generator