GitHub
@stdlib/stats-base-dists-bernoulli-mean
Bernoulli distribution expected value.
speechllm
This repository contains the training, inference, evaluation code for SpeechLLM models and details about the model releases on huggingface.
@stdlib/stats-base-dists-kumaraswamy-logpdf
Natural logarithm of the probability density function (PDF) for a Kumaraswamy's double bounded distribution.
crop-forecasting
Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.
@stdlib/math-base-special-invf
Compute the multiplicative inverse of a single-precision floating-point number.
@stdlib/stats-base-dists-hypergeometric-ctor
Hypergeometric distribution constructor.
@stdlib/stats-base-dsmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.
speech-to-intent-dataset
Dataset Release for Intent Classification from Speech
stats-n-plots
Computation and visualization of statistical analyses common in the Life sciences made easy
@stdlib/stats-base-dists-chi-pdf
Chi distribution probability density function (PDF).
@stdlib/stats-base-dmeanstdev
Calculate the mean and standard deviation of a double-precision floating-point strided array.
ooda-loop
OODA loop: notes on John Boyd, strategy, tactics, planning, and paradigms
@stdlib/stats-base-dists-discrete-uniform-variance
Discrete uniform distribution variance.
@stdlib/stats-base-dists-discrete-uniform-skewness
Discrete uniform distribution skewness.
@stdlib/stats-incr-mpcorr2
Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.
@stdlib/math-base-ops-cmulf
Multiply two single-precision complex floating-point numbers.
@stdlib/stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
@stdlib/stats-incr-meanabs
Compute an arithmetic mean of absolute values incrementally.
@stdlib/stats-base-dists-geometric-logpmf
Geometric distribution logarithm of probability mass function (PMF).
@stdlib/stats-base-dists-kumaraswamy-variance
Kumaraswamy's double bounded distribution variance.
bottleneck
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
@stdlib/ndarray-base-assert-is-buffer-length-compatible-shape
Determine if a buffer length is compatible with a provided shape array.
@stdlib/repl-info
Return abbreviated help text associated with a provided alias.
twolevel_ants_dbm
A twolevel deformation based morphometry pipeline using ants
@stdlib/stats-base-dists-geometric-logcdf
Geometric distribution logarithm of cumulative distribution function (CDF).
annotator
A simple tool to help you manually discover the depths of your (complex) spectra, one spectrum at a time.
@stdlib/error-tools-id2pkg
Return the package name associated with a specified error identifier prefix.
@stdlib/stats-base-dists-logistic-pdf
Logistic distribution probability density function (PDF).
@stdlib/utils-async-some-by-right
Test whether a collection contains at least `n` elements which pass a test implemented by a predicate function, iterating from right to left.
@stdlib/stats-base-snanrange
Calculate the range of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/math-base-special-floorsd
Round a numeric value to the nearest number toward negative infinity with N significant figures.
@stdlib/stats-incr-mcv
Compute a moving coefficient of variation (CV) incrementally.
@stdlib/math-base-tools-evalpoly-compile-c
Compile a C function for evaluating a polynomial.
@stdlib/math-base-ops-addf
Compute the sum of two single-precision floating-point numbers.
angular-react-microfrontend
:construction: React vs Angular ? Why not both ! Micro frontend demo using Angular and React alongs with a NodeJS API
@stdlib/utils-async-any-by-right
Test whether at least one element in a collection passes a test implemented by a predicate function, iterating from right to left.
@stdlib/stats-base-dists-pareto-type1-variance
Pareto (Type I) distribution variance.
https://github.com/csoneson/tabulamurisdata
Access data from Tabula Muris Consortium via R/Bioconductor
@stdlib/strided-napi-dmap
C API for registering an N-API module exporting a strided array interface for applying a unary callback accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array and assigning results to elements in a double-precision floating-point strided output array.
hetpy
A simple, strongly typed python package for heterogeneous information networks.