Julia Package for reading and writing MPI Files

FDFD code for scattering and spectral analysis of complex media

-

A toolbox for internal fluid flow for Julia

-

Interface for fitting Gaussian processes

Collection of instrument line-shape methods for hyperspectral remote sensing

-

Evaluation of and sampling from stellar initial mass functions

A few functions for working with indefinite quadratic forms.

Julia implementation of stochastic gradient algorithms (SCSG , SVRG)

Read .imagine files in Julia

-

Julia package that handles image noise

IERS Conventions made easy.

A set of methods to get ECCC IDF data from .txt files

Julia package for ice floe tracker

A Julia version of ABBA with parallel k-means implementation

-

Hyperelastic Material modelling with support for Automatic Differentiation

-

A package for digital holographic image processing

Generate plain-text editions of texts in the HMT archive in as many formats as you please.

A Julia package for building static-page digital facsimiles of scholarly editions.

Manage and analyze the Homer Multitext project archive

A MLJ wrapper to the R [HAL](https://github.com/tlverse/hal9001) package.

Julia implementation of Non-parametric Hierarchial Performance Testing, a statistical technique for comparing the performance of different computers.

-

Similarity search indexes based on neighborhood approximation

Reusable NeRF components

-

This is a package for homogeneous polynomial minimization on the sphere using harmonic hierarchies also including harmonic analysis and spherical quadrature rules.

A Julia package for estimating effective (i.e., directed) connectivity in large (whole-brain) networks.

The gap between theory and practice is in practice greater than in theory.

Implementation of Guided Proposals (introduced by M Schauer, F van der Meulen, H van Zanten)

Set propagation for neural networks in Julia

Algebraic Theory of q-ry Gray Coding. Encoding, Decoding, Some applications. See https://nivupai.github.io/GrayCoding.jl/dev/

Data structures for graph neural network

Analyze and debug LBFGS linesearch behavior inside GRAPE

The Julia Implementation of Gradient Boosting.