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.

Collections of PRNG Predictions

C++ benchmark for RNG headers

An MT19937 Mersenne Twister rng implementation, with the goal of being compatible with CPython's _random module.

A reentrant variant of MT19937 RNG

Mersenne Twister(MT19937) implementation in Rust

Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.

The utility for the creation and verification of files filled with a pseudo-random sequence of bytes.

Reconstructed revision history for the MT19937 Mersenne Twister PRNG by Makoto Matsumoto and Takuji Nishimura

Implementation of the MT19937 Random Number Generator Algorithm

Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.

mt19937 - Mersenne Twister pseudo-RNG, 32 bit version

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.

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.

A simple encryption program using mt19973