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The missing JS randomness library.
tools for weighted arrays
Randomly select multiple entries from a weighted list.
Immutable Graph data structures for TypeScript
A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, with replacement allowed between samples. In other words, an item can be sampled more than once. The sampling method utilizes a binary sea
- weight
- weighted
- weighted-random
- sample
- sampler
- sampling
- random
- randomized
- random-select
- weighted-select
- weighted-selector
- weighted-selection
- weighted-sampling
- weighted-item
- View more
Extract one or more random elements from a weighted array.
Immutable Graph data structures for TypeScript
A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, and every item is sampled exactly once (without repetition or replacement). The sampling method utilizes a binary-search optimization, mak
- weight
- weighted
- weighted-random
- sample
- sampler
- weighted-sampler
- sampling
- without-replacement
- no-replacement
- non-replacement
- replacement
- without-repetition
- no-repetition
- random-select
- View more
Exponential moving average from a stream.
Generate random array indices weighted by given scores.
Simple utility module to select weighted random numbers
wrap xorshift128+ to random number generator
- random
- rng
- xorshift
- xorshift128
- xorshift128+
- alea
- arr
- array
- bates
- d3-random
- distribution
- el
- element
- exponential
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Allows activation values propagation within a weighted directed graph
Weighted random
Generate a weighted random function from a frequency map.
A library to pick random elements with weighted probability.
- alea
- arr
- array
- bates
- d3-random
- distribution
- el
- element
- exponential
- fisher
- gaussian
- generate
- generate-random-numbers
- generator
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Weighted directed graph
Generator of random item in array by probability function
ConceptNetwork with file persistance.