@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.
https://github.com/awslabs/aws-eventstream-java
A Java implementation of EventStream encoding, an extensible binary datagram encoding.
@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.
zCompositions
Imputation of zeros, nondetects and missing data in compositional data sets
@stdlib/random-iter-beta
Create an iterator for generating pseudorandom numbers drawn from a beta distribution.
onecodex
Command line interface and Python client library for the One Codex API
biogas
Tools for biogas research in R: process biogas data and predict biogas production
@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.
https://github.com/comunica/comunica-feature-link-traversal
📬 Comunica packages for link traversal-based query execution
@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).
blackmarbler
Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble
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)
https://github.com/aphalo/photobiology
Package ‘photobiology’ defines a system of classes for storing spectral data and accompanying methods and operators. This is the core of a suite of R packages for photobiological calculations.
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.
harmonypy
🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.
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.
https://github.com/acdh-oeaw/arche-schema
This is the repo for the ACDH-Ontology. The ontology is going to be used to describe resources in the acdh-repo.
@stdlib/stats-base-dists-triangular-entropy
Triangular distribution differential entropy.
abstar
VDJ assignment and antibody sequence annotation. Scalable from a single sequence to billions of sequences.
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.
meteoland
Functions to estimate weather variables at any position of a landscape
fishpond
Differential expression and allelic analysis, nonparametric statistics
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)
psims
A declarative API for writing XML documents for HUPO PSI-MS mzML and mzIdentML
https://github.com/barbagroup/jcs_paper_pinn
PINN paper that will be submitted to Journal of Computational Science
@stdlib/stats-incr-nansumabs
Compute a sum of absolute values incrementally, ignoring NaN values.
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
deconvR
The deconvR is an R package designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model.