There are 1 repository under pseudorandom topic.
User-friendly pseudorandom number generator (PRNG)
Park-Miller pseudorandom number generator (PRNG)
Robust estimations from distribution structures: III. Non-asymptotic
A seeded pseudo-random number generator for JavaScript.
Random (SLAA338) and pseudorandom (LCG) number generation.
Rust implementation of the skip ratchet
Python decorator to control randomness of functions, methods and properties
Crack java.util.Random when nextInt is used with a power of two.
Tested, performant HighwayHash bindings for Python 3 with support for all output lengths.
A 32-bit Mersenne Twister pseudorandom number generator.
Estimating π using Monte Calro Simulation
A psuedrandom and procedural generation library using 64.61 fixed point math for Cairo
Fast PRNG implementations in .NET. Your PRNG is unlikely to be a bottleneck in anything you do, but there are exceptions like for instance Monte Carlo simulations, where generating random samples can take some time.
Cryptographically Secure AES DRBG NIST SP 800-90A, Rev 1 pseudo-random number generator (PRNG) in Pure Python
Uniformly distributed pseudorandom numbers.
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.
Binomial distributed pseudorandom numbers.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Create an iterator for generating pseudorandom numbers drawn from a chi-square distribution.
Global Probabilistic Daily Reminders for Anything
A project about a not so perfect PRNG
Linear congruential generator (LCG) is an application that demonstrates the generation of pseudo-random numbers. The LCG is a specialized mathematical function (deterministic algorithm) for simulation of “random” numbers. The numbers generated by LCG are called pseudo-random numbers.
Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Standard library pseudorandom number generator iterators.
Create an iterator for generating pseudorandom numbers drawn from an arcsine distribution.
Fill a strided array with pseudorandom numbers drawn from a beta prime distribution.
Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.