GitHub
@stdlib/math-iter-special-gamma1pm1
Create an iterator which computes `gamma(x+1) - 1` for each iterated value.
@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-dcbrt
Compute the cube root of each element in a double-precision floating-point strided array.
@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.
@stdlib/math-strided-special-sdeg2rad
Convert each element in a single-precision floating-point strided array from degrees to radians.
@stdlib/stats-base-dists-rayleigh-mgf
Rayleigh distribution moment-generating function (MGF).
@stdlib/ndarray-base-dtype-desc
Return the description for a provided data type.
@stdlib/constants-float16
Half-precision floating-point mathematical constants.
@stdlib/utils-nonenumerable-property-symbols-in
Return an array of an object's own and inherited non-enumerable symbol properties.
tno.mpc.encryption-schemes.shamir
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Shamir
@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/random-streams-pareto-type1
Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
@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/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/stats-base-dists-geometric-mean
Geometric distribution expected value.
@stdlib/stats-iter
Standard library functions for computing statistics over iterators.
@stdlib/stats-base-dists-rayleigh-entropy
Rayleigh distribution differential entropy.
@stdlib/math-base-special-acosf
Compute the arccosine of a single-precision floating-point number.
@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-fast-alpha-max-plus-beta-min
Compute the hypotenuse using the alpha max plus beta min algorithm.
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).
perprof-web
Web app for the generation of performance profiles using perprof-py
@stdlib/stats-base-nanmin-by
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
@stdlib/utils-async-any-by
Test whether at least one element in a collection passes a test implemented by a predicate function.
bioc-actions
GitHub Actions for developing and maintaining Bioconductor packages
@stdlib/math-iter-special-havercos
Create an iterator which computes the half-value versed cosine for each iterated value.
@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/utils-async-reduce
Apply a function against an accumulator and each element in a collection and return the accumulated result.
@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-strided-special-avercos-by
Compute the inverse versed cosine of each element retrieved from an input strided array via a callback function.
@stdlib/math-iter-special-coversin
Create an iterator which computes the coversed sine for each iterated value.
@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-laplace-kurtosis
Laplace distribution excess kurtosis.
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/number-float32-base-significand
Return an integer corresponding to the significand of a single-precision floating-point number.
@stdlib/stats-base-dists-pareto-type1-entropy
Pareto (Type I) distribution differential entropy.
@stdlib/stats-base-dists-pareto-type1-ctor
Pareto (Type I) distribution constructor.
sciogovterminal
Sciogovterminal: Browse "The State Council Information Office of the People's Republic of China" in the terminal.
@stdlib/math-base-ops-csubf
Subtract two single-precision complex floating-point numbers.
@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.
natural-language-processing
Fundamentals of natural language processing with Python