GitHub
@stdlib/math-base-special-copysignf
Return a single-precision floating-point number with the magnitude of x and the sign of y.
@stdlib/constants-float64-max-safe-nth-fibonacci
Maximum safe nth Fibonacci number when stored in double-precision floating-point format.
@stdlib/blas-ext-base-dssum
Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
@stdlib/stats-incr-msumabs
Compute a moving sum of absolute values incrementally.
@stdlib/math-base-special-sinc
Compute the normalized cardinal sine of a number.
@stdlib/stats-incr-mcovariance
Compute a moving unbiased sample covariance incrementally.
@stdlib/stats-base-dists-laplace-logpdf
Laplace distribution logarithm of probability density function (PDF).
stats-incr-meanstdev
Compute an arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mmpe
Compute a moving mean percentage error (MPE) incrementally.
@stdlib/stats-incr-mrss
Compute a moving residual sum of squares (RSS) incrementally.
vulpes
Vulpes: Test many classification, regression models and clustering algorithms to see which one is most suitable for your dataset
icpts
TypeScript implementation of iterative closest point (ICP) for point cloud registration
https://github.com/adaptivemotorcontrollab/mousearmtransformer
A lifting transformer used to generate 3D DeepLabCut estimates for an adult mouse forelimb
@stdlib/math-base-special-besselj1
Compute the Bessel function of the first kind of order one.
@stdlib/stats-base-dists-levy-pdf
Lévy distribution probability density function (PDF).
vikunja
Vikunja is a performance portable algorithm library that defines functions operating on ranges of elements for a variety of purposes . It supports the execution on multi-core CPUs and various GPUs. Vikunja uses alpaka to implement platform-independent primitives such as reduce or transform.
tts-scores
Scripts for computing the Intelligibility and CLVP scores for evaluating TTS models
@stdlib/strided-base-smap
Apply a unary function accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array and assign each result to an element in a single-precision floating-point strided output array.
@stdlib/stats-padjust
Adjust supplied p-values for multiple comparisons via a specified method.
@stdlib/strided-napi-smskmap
C API for registering an N-API module exporting a strided array interface for applying a unary callback accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array according to a corresponding element in a strided mask array and assigning results to elements in a single-precision floating-point strided output array.
https://github.com/doi-usgs/linesink-maker
Rapidly build GFLOW models from GIS hydrography data
@stdlib/stats-base-dists-frechet-entropy
Fréchet distribution differential entropy.
social-network-plan
Social network plan - goals, ideas, step, and tasks for a new site
@stdlib/stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.
@hugoalh/unique-array
An ECMAScript (JavaScript & TypeScript) module to return unique array elements without any duplicated elements by ignore their reference points.
@stdlib/math-base-special-binet
Evaluate Binet's formula extended to real numbers.
@stdlib/stats-incr-mmeanabs2
Compute a moving arithmetic mean of squared absolute values incrementally.
@stdlib/blas-base-cswap
Interchanges two complex single-precision floating-point vectors.
@stdlib/math-base-tools-evalpoly-compile
Compile a module for evaluating a polynomial.
ui-ux-design-guide
UI/UX Design 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).
vehicle_collision_prediction_using_cnn-lstms
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
@stdlib/blas-base-dswap
Interchange two double-precision floating-point vectors.
fukkatsu
Dynamic Software Improvement and Mutation using LLMs for Stochastic Synthetic Code Injections
karp-miller
A Coq mechanization of the Karp-Miller algorithm based on Kruskal-AlmostFull
https://github.com/bagustris/a-vb2022_ccc
Another version of https://github.com/bagustris/A-VB2022 using CCC loss function
https://github.com/bagustris/multistage-ser
Repo for paper "MULTITASK LEARNING AND MULTISTAGE FUSION FOR DIMENSIONAL AUDIOVISUAL EMOTION RECOGNITION" at ICASSP 2020