GitHub
@stdlib/math-iter-special-gamma1pm1
Create an iterator which computes `gamma(x+1) - 1` for each iterated value.
@stdlib/stats-base-dists-arcsine-logpdf
Arcsine distribution logarithm of probability density function (PDF).
@stdlib/utils-nonenumerable-property-symbols-in
Return an array of an object's own and inherited non-enumerable symbol properties.
@stdlib/stats-base-dists-hypergeometric-mode
Hypergeometric distribution mode.
@stdlib/stats-base-dists-rayleigh-mgf
Rayleigh distribution moment-generating function (MGF).
@stdlib/math-iter-special-hacovercos
Create an iterator which computes the half-value coversed cosine for each iterated value.
@stdlib/ndarray-base-dtype-desc
Return the description for a provided data type.
@stdlib/constants-float16
Half-precision floating-point mathematical constants.
@stdlib/math-strided-special-dcbrt
Compute the cube root of each element in a double-precision floating-point strided array.
@stdlib/math-strided-special-sdeg2rad
Convert each element in a single-precision floating-point strided array from degrees to radians.
@stdlib/constants-float64-precision
Effective number of bits in the significand of a double-precision floating-point number.
@stdlib/math-base-special-cidentityf
Evaluate the identity function for a single-precision complex floating-point number.
tno.mpc.encryption-schemes.shamir
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Shamir
@stdlib/stats-iter
Standard library functions for computing statistics over iterators.
@stdlib/stats-base-dists-rayleigh-entropy
Rayleigh distribution differential entropy.
@stdlib/stats-base-dists-geometric-mean
Geometric distribution expected value.
@stdlib/math-base-special-pdifff
Return the positive difference between `x` and `y`.
@stdlib/utils-async-some-by
Test whether a collection contains `n` elements which pass a test implemented by a predicate function.
@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.
stats-base-mskrange
Calculate the range of a strided array according to a mask.
@stdlib/random-streams-pareto-type1
Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
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).
@superagent-ai/poker-eval
A comprehensive tool for assessing AI Agents performance in simulated poker environments
@stdlib/math-base-special-acosf
Compute the arccosine of a single-precision floating-point number.
@stdlib/math-base-special-fast-alpha-max-plus-beta-min
Compute the hypotenuse using the alpha max plus beta min algorithm.
@stdlib/stats-base-nanmin-by
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
@stdlib/utils-async-reduce
Apply a function against an accumulator and each element in a collection and return the accumulated result.
@stdlib/namespace-pkg2standalone
Return the standalone package name associated with a provided internal package name.
perprof-web
Web app for the generation of performance profiles using perprof-py
@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.
@stdlib/blas-ext-base-snansum
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values.
@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/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-coversin
Create an iterator which computes the coversed sine for each iterated value.
@stdlib/stats-base-dists-laplace-kurtosis
Laplace distribution excess kurtosis.
bioc-actions
GitHub Actions for developing and maintaining Bioconductor packages
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
@stdlib/utils-async-any-by
Test whether at least one element in a collection passes a test implemented by a predicate function.
@stdlib/stats-base-dists-arcsine-entropy
Arcsine distribution differential entropy.
@stdlib/math-iter-special-havercos
Create an iterator which computes the half-value versed cosine for each iterated value.
@stdlib/math-base-special-kronecker-deltaf
Evaluate the Kronecker delta (single-precision).
average-calculator
📊 Creation of a Grade Average calculator to find out if the final grade was sufficient or not for approval.
@stdlib/stats-base-dists-pareto-type1-ctor
Pareto (Type I) distribution constructor.
@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.
math-iter-ops-mod
Create an iterator which performs an element-wise modulo operation of two or more iterators.
@stdlib/assert-has-define-properties-support
Detect `Object.defineProperties` support.
@stdlib/constants-float16-precision
Effective number of bits in the significand of a half-precision floating-point number.
@stdlib/random-iter-normal
Create an iterator for generating pseudorandom numbers drawn from a normal distribution.
@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.
natural-language-processing
Fundamentals of natural language processing with Python