GitHub
@stdlib/stats-incr-apcorr
Compute a sample absolute Pearson product-moment correlation coefficient.
@stdlib/stats-base-dists-triangular-variance
Triangular distribution variance.
pizzly
Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️
@stdlib/stats-incr-ewmean
Compute an exponentially weighted mean incrementally.
@stdlib/strided-dispatch
Create a strided array function interface which performs multiple dispatch.
@stdlib/assert-is-ascii
Test whether a character belongs to the ASCII character set and whether this is true for all characters in a provided string.
@stdlib/ndarray-base-maybe-broadcast-array
Broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.
@stdlib/stats-base-dists-triangular-mean
Triangular distribution expected value.
@stdlib/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
@stdlib/stats-base-dists-triangular-pdf
Triangular distribution probability density function (PDF).
p5.party
p5.party is a library for easily creating online multi-user sketches with p5.js. With p5.party you can quickly prototype ideas for multiplayer games, real-time multi-user apps, and multi-computer art projects.
@stdlib/random-iter-beta
Create an iterator for generating pseudorandom numbers drawn from a beta distribution.
@stdlib/ndarray-base-nullary-loop-interchange-order
Reorder ndarray dimensions and associated strides for loop interchange.
@stdlib/stats-incr-pcorrmat
Compute a sample Pearson product-moment correlation matrix incrementally.
@stdlib/math-base-special-ceil2
Round a numeric value to the nearest power of two toward positive infinity.
svfa-scala
An implementation of sparse-value flow analysis on top of soot (using Scala)
@stdlib/stats-base-dists-triangular-logpdf
Triangular distribution logarithm of probability density function (PDF).
opencl-benchmark
A small OpenCL benchmark program to measure peak GPU/CPU performance.
@stdlib/ml-incr-sgd-regression
Online regression via stochastic gradient descent (SGD).
fars_cleaner
fars_cleaner: A Python package for downloading and pre-processing vehicle fatality data in the US - Published in JOSS (2022)
hyperspectralpy
Python tools and GUI for analysis (target detection, PCA, material identification, library management) involving spectral images.
scripttool
Tool for working with various screenplay file formats (E.g. fdx, fadein, osf, and fountain)
@stdlib/stats-incr-mmae
Compute a moving mean absolute error (MAE) incrementally.
https://github.com/google-research/e3x
E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
@stdlib/stats-base-dists-triangular-quantile
Triangular distribution quantile function.
@stdlib/stats-incr-ewstdev
Compute an exponentially weighted standard deviation incrementally.
its-time-to-cut-widevine-drm
An article on why Googles WideVine DRM should not be used.
@stdlib/stats-base-dists-triangular-entropy
Triangular distribution differential entropy.
tno.mpc.mpyc.secure-learning
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Learning
https://github.com/doi-usgs/meddle
Tools for metadata creation and data releases
@stdlib/stats-incr-mminmaxabs
Compute moving minimum and maximum absolute values incrementally.
@stdlib/stats-incr-mvmr
Compute a moving variance-to-mean ratio (VMR) incrementally.
ml.recipes
Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.
stat-models-v1
Learning Statistical Models Through Simulation in R (version 1, 2021)
https://github.com/barbagroup/jcs_paper_pinn
PINN paper that will be submitted to Journal of Computational Science
@stdlib/math-base-special-bessely1
Compute the Bessel function of the second kind of order one.
tno.mpc.mpyc.stubs
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Stubs
analyse-together
A tool for analysis of air quality data, measured by low cost sensors
@stdlib/stats-incr-nansumabs
Compute a sum of absolute values incrementally, ignoring NaN values.
fountain
experimental golang package for working with Fountain formatted screenplays.
planetary-datasets
Open source dataset loading and creation from Planetary Computer, GCP, and AWS. To support reproducible training of weather, energy, and mapping models.
adaptest
adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R - Published in JOSS (2018)
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-base-nanvariance
Calculate the variance of a strided array ignoring NaN values.
tno.mpc.encryption-schemes.utils
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Utils
get-weather-data
Get weather data for a list of zip codes for a range of dates
@stdlib/stats-base-dists-gamma-entropy
Gamma distribution differential entropy.
@stdlib/stats-incr-pcorrdistmat
Compute a sample Pearson product-moment correlation distance matrix incrementally.
@stdlib/stats-incr-variance
Compute an unbiased sample variance incrementally.