stats-strided-dmeanlipw
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
stats-base-ztest-alternative-enum2str
This repository provides an alternative implementation of the `enum2str` function for statistical analysis in JavaScript. It enhances your ability to convert enumeration values to strings, streamlining your data processing tasks. 🛠️📊
ndarray-base-unary-reduce-strided1d-dispatch-by
This repository provides efficient methods for unary reduction operations on strided 1D arrays. Explore the code and contribute to the future of numerical computation! 🐱💻✨
stats-array-nanvariancech
Calculate the variance of an array ignoring `NaN` values and using a one-pass trial mean algorithm.
stats-array-nanvarianceyc
Calculate the variance of an array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
blas-base-wasm-cscal
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
blas-base-wasm-zcopy
Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
@stdlib/random-strided-mt19937
Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
@stdlib/random-strided-invgamma
Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
stats-strided-snanminabs
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
constants-float64-num-high-word-significand-bits
Number of significand bits in the high word of a double-precision floating-point number.
ndarray-vector-int8
Create a signed 8-bit integer vector (i.e., a one-dimensional ndarray).
array-base-unary3d-by
Apply a unary function to each element retrieved from a three-dimensional nested input array according to a callback function and assign results to elements in a three-dimensional nested output array.
@stdlib/blas-base-transpose-operation-resolve-enum
Return the enumeration constant associated with a supported BLAS transpose operation value.
number-float64-base-add
Compute the sum of two double-precision floating-point numbers.
stats-strided-dminabs
Calculate the minimum absolute value of a double-precision floating-point strided array.
@stdlib/math-base-tools-normhermitepolyf
Evaluate a normalized Hermite polynomial using single-precision floating-point arithmetic.
stats-strided-drange
Calculate the range of a double-precision floating-point strided array.
array-base-cuany-by-right
Cumulatively test whether at least one array element in a provided array passes a test implemented by a predicate function, while iterating from right-to-left.
stats-strided-dnanvariancetk
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
array-little-endian-factory
Return a typed array constructor for creating typed arrays stored in little-endian byte order.
stats-strided-mskmin
Calculate the minimum value of a strided array according to a mask.
stats-array-nanmax-by
Calculate the maximum value of an array via a callback function, ignoring NaN values.
@stdlib/random-array-binomial
Create an array containing pseudorandom numbers drawn from a binomial distribution.
ndarray-base-unary-reduce-subarray-by
This repository contains a JavaScript library for performing unary reduction operations on subarrays within ndarray structures. Explore the code and contribute to enhance numerical computations! 🐙🌐
@stdlib/blas-base-cscal
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
https://github.com/asanchezyali/social-media-posts
Collection of technical notes and articles that I share on social media, primarily on LinkedIn. These notes cover various topics in software development, with a particular focus on Python programming, artificial intelligence, and modern software engineering practices.
stats-strided-dsmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
@stdlib/array-base-from-strided
Convert a strided array to a non-strided generic array.
@stdlib/random-iter-randn
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.
stats-strided-dnanstdev
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
stats-strided-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
stats-strided-dnanstdevyc
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-array-nanstdev
Calculate the standard deviation of an array ignoring `NaN` values.
stats-strided-stdevtk
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
stats-strided-stdevyc
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-stdevwd
Calculate the standard deviation of a strided array using Welford's algorithm.
helperUtils
Reusable javascript helper utility methods. <https://www.npmjs.com/package/@darcher/js-helpers>
stats-base-ndarray-max-by
Compute the maximum value of a one-dimensional ndarray via a callback function.
https://github.com/bluebrain/nexus-web
Nexus Web is the interface of Blue Brain Nexus
https://github.com/benhid/ghostie
Notifies you when long-running commands complete
https://github.com/anamarijapapic/erasmus-portal
Final project for university subject Agile Management. A platform where students and staff can apply for Erasmus+ programs, and institutions can manage these applications. 👥🌐
constants-float32-sqrt-phi
Square root of the golden ratio as a single-precision floating-point number.
lapack-base-spttrf
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
@stdlib/constants-complex128-nan
Canonical double-precision complex floating-point NaN.
stats-strided-nanstdevyc
Compute nan-standard deviations for strided arrays with ease using stats-strided-nanstdevyc. Ideal for numerical and scientific tasks in JavaScript. 🚀📊
context-savvy-mcp
A high-performance Model Context Protocol server that transforms Claude Desktop into a memory-enabled AI assistant with persistent context, secure command execution, and intelligent workflow automation.
ndarray-iter-stacks
Create an iterator which iterates over each subarray in a stack of subarrays according to a list of specified stack dimensions.
@stdlib/random-array-logistic
Create an array containing pseudorandom numbers drawn from a logistic distribution.
array-base-unary4d-by
Apply a unary function to each element retrieved from a four-dimensional nested input array according to a callback function and assign results to elements in a four-dimensional nested output array.
@stdlib/array-base-unarynd
Apply a unary callback to elements in an n-dimensional nested input array and assign results to elements in an n-dimensional nested output array.
stats-strided-dnanstdevyc
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.