Fast random number generators: Vectorized (SIMD) version of xorshift128+
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Updated
Jul 22, 2020 - C
Fast random number generators: Vectorized (SIMD) version of xorshift128+
Fully managed library providing various random number generators and distributions.
FAST 32/64 bit PRNG (pseudo-random generator), highly optimized, based on xoshiro* / xoroshiro*, xorshift and other Marsaglia algorithms.
Single header, 32bit and 64bit FAST pseudo-random (fastrandom) generator, based on Marsaglia algorithms
Dart library with random number generators focused on the consistency, performance and reproducibility
A JavaScript module for generating random seeded distributions and its statistical analysis.
Fully-fledged random number generator library with high quality implementations of Xorshift, Xorwow, Mersenne Twister, PCG and LCG. Each implements a standard API producing number distributions that exactly match the original implementations.
A Python-based predictor using z3 to reverse-engineer and predict random values generated by Math.random in V8 with 100% accuracy. This script leverages a series of Math.random() values (min 5) to deduce future states.
Fortran implementation of the xorshift64* random number generator
A simple implementation of the XorShift128+ pseudorandom number generator in Rust.
GO Fast xorshift* and xorshift+ implementation
XORSHIFT-ADD(XSadd) Pseudo Random Number Generator written in VHDL(RTL) for FPGA(Xilinx and Altera).
Single-byte and multi-byte character frequency analysis XOR
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