Drop-in replacement for Python's random module that records and can replay seeds
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Updated
Jul 28, 2021 - Python
Drop-in replacement for Python's random module that records and can replay seeds
Modified bionicpup64-8.0 with added crypto tools: doubleslow, doublerandom, RFC1751-encoding-decoding and others.
Examples of random seed initialization in: C, C++, Fortran, Julia, Matlab, Python
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.
Simple command-line applications for generating passwords
LandCrafter is a terrain generation tool that simulates the impact of dirtballs on a 2D grid to create diverse landmasses. It categorizes the terrain based on water levels and generates visual maps representing deep water, shallow water, coast, plains, forest, and mountains.
DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***
ATtiny project for an electronic pocket dice
Python script simulates neural spike train data with a fixed random seed for reproducibility. It visualizes the spike train, computes inter-spike intervals (ISI), and estimates the firing rate.
A research-grade deterministic randomness laboratory for Go. This framework provides reproducible pseudo-random sequences using different algorithms, with support for replay, branching seeds, entropy analysis, and exportable streams. A research-grade deterministic randomness laboratory.
Randomness mixers, offline seed generator, BIP39 seed generator, random numbers in range algorithm, random words from a dictionary.
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