GitHub
@stdlib/stats-incr-ewmean
Compute an exponentially weighted mean incrementally.
@stdlib/strided-dispatch
Create a strided array function interface which performs multiple dispatch.
pizzly
Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️
@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).
@stdlib/ml-incr-sgd-regression
Online regression via stochastic gradient descent (SGD).
opencl-benchmark
A small OpenCL benchmark program to measure peak GPU/CPU performance.
hyperspectralpy
Python tools and GUI for analysis (target detection, PCA, material identification, library management) involving spectral images.
fars_cleaner
fars_cleaner: A Python package for downloading and pre-processing vehicle fatality data in the US - Published in JOSS (2022)
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.
https://github.com/doi-usgs/meddle
Tools for metadata creation and data releases
tno.mpc.mpyc.secure-learning
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Learning
@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.
stat-models-v1
Learning Statistical Models Through Simulation in R (version 1, 2021)
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.
https://github.com/barbagroup/jcs_paper_pinn
PINN paper that will be submitted to Journal of Computational Science
tno.mpc.mpyc.stubs
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Stubs
@stdlib/math-base-special-bessely1
Compute the Bessel function of the second kind of order one.
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-base-nanvariance
Calculate the variance of a strided array ignoring NaN values.
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
get-weather-data
Get weather data for a list of zip codes for a range of dates
tno.mpc.encryption-schemes.utils
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Utils
@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.