GitHub
@stdlib/math-base-special-rsqrtf
Compute the reciprocal square root of a single-precision floating-point number.
@stdlib/stats-base-dists-hypergeometric-mode
Hypergeometric distribution mode.
@stdlib/math-strided-special-sdeg2rad
Convert each element in a single-precision floating-point strided array from degrees to radians.
@stdlib/math-strided-special-dcbrt
Compute the cube root of each element in a double-precision floating-point strided array.
@stdlib/stats-base-dists-rayleigh-mgf
Rayleigh distribution moment-generating function (MGF).
@stdlib/constants-float16
Half-precision floating-point mathematical constants.
@stdlib/ndarray-base-dtype-desc
Return the description for a provided data type.
@stdlib/utils-nonenumerable-property-symbols-in
Return an array of an object's own and inherited non-enumerable symbol properties.
@stdlib/stats-base-dists-arcsine-logpdf
Arcsine distribution logarithm of probability density function (PDF).
@stdlib/math-iter-special-hacovercos
Create an iterator which computes the half-value coversed cosine for each iterated value.
tno.mpc.encryption-schemes.shamir
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Shamir
@stdlib/random-streams-pareto-type1
Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
@stdlib/constants-float64-precision
Effective number of bits in the significand of a double-precision floating-point number.
stats-base-mskrange
Calculate the range of a strided array according to a mask.
@stdlib/math-base-special-cidentityf
Evaluate the identity function for a single-precision complex floating-point number.
@stdlib/array-base-assert-is-mostly-safe-data-type-cast
Determine if an array data type can be safely cast or, for floating-point data types, downcast to another array data type.
@stdlib/stats-iter
Standard library functions for computing statistics over iterators.
@stdlib/stats-base-dists-geometric-mean
Geometric distribution expected value.
@stdlib/stats-base-dists-rayleigh-entropy
Rayleigh distribution differential entropy.
@stdlib/utils-async-some-by
Test whether a collection contains `n` elements which pass a test implemented by a predicate function.
@stdlib/math-base-special-pdifff
Return the positive difference between `x` and `y`.
project-management-guide
Project Management Guide: this book explains one topic per page, like a big glossary, easy wiki, quick encyclopedia, or summary notes. Edited by Joel Parker Henderson (@joelparkerhenderson).
@stdlib/stats-base-dists-hypergeometric-cdf
Hypergeometric distribution cumulative distribution function (CDF).
@stdlib/math-base-special-acosf
Compute the arccosine of a single-precision floating-point number.
@superagent-ai/poker-eval
A comprehensive tool for assessing AI Agents performance in simulated poker environments
@stdlib/math-base-special-fast-alpha-max-plus-beta-min
Compute the hypotenuse using the alpha max plus beta min algorithm.
@stdlib/utils-async-any-by
Test whether at least one element in a collection passes a test implemented by a predicate function.
@stdlib/math-iter-special-coversin
Create an iterator which computes the coversed sine for each iterated value.
@stdlib/math-strided-special-avercos-by
Compute the inverse versed cosine of each element retrieved from an input strided array via a callback function.
@stdlib/utils-async-reduce
Apply a function against an accumulator and each element in a collection and return the accumulated result.
bioc-actions
GitHub Actions for developing and maintaining Bioconductor packages
@stdlib/stats-base-dists-laplace-kurtosis
Laplace distribution excess kurtosis.
@wendig/qtei
QTEI is based on two core components: the browser, as one of the most comprehensive software packages for handling XML, is widely used and easy to maintain by end users. And JS is often part of the solution for rendering TEI/XML anyway, so with QTEI we created a framework that can fully implement the TEI web presence with this technology.
perprof-web
Web app for the generation of performance profiles using perprof-py
@stdlib/blas-ext-base-snansum
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values.
muller-eot
A Python package for M. Müller implementation of the "Equation of Time - Problem in Astronomy" to calculate the Equation of Time based on the individual effect of eccentricity and obliquity
average-calculator
📊 Creation of a Grade Average calculator to find out if the final grade was sufficient or not for approval.
@stdlib/stats-base-nanmin-by
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
@stdlib/namespace-pkg2standalone
Return the standalone package name associated with a provided internal package name.
@stdlib/math-base-special-kronecker-deltaf
Evaluate the Kronecker delta (single-precision).
@stdlib/stats-base-dists-arcsine-entropy
Arcsine distribution differential entropy.
@stdlib/blas-ext-base-sdsnansum
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation.
@stdlib/math-iter-special-havercos
Create an iterator which computes the half-value versed cosine for each iterated value.
@stdlib/stats-base-dists-pareto-type1-entropy
Pareto (Type I) distribution differential entropy.
@stdlib/number-float32-base-significand
Return an integer corresponding to the significand of a single-precision floating-point number.
@stdlib/stats-base-dists-pareto-type1-ctor
Pareto (Type I) distribution constructor.
@stdlib/stats-base-dsnanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
@stdlib/ndarray-base-napi-addon-arguments
C API for validating, extracting, and transforming (to native C types) function arguments provided to an ndarray N-API add-on interface.
@stdlib/math-base-special-flipsign
Return a double-precision floating-point number with the magnitude of x and the sign of x*y.
@stdlib/assert-has-define-properties-support
Detect `Object.defineProperties` support.