MetaCommunityMetrics is a collection of tools and utilities for analyzing meta-communities in Julia. The current version is compatible with julia version 1.9.3.

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Julia package for Optical fibers

Automatically Differentiate the backward Euler method

A package to fit logistic regression in pure Julia

Abstract interface and base functions for simulation results

Efficient optimal selection for tree breeding

Repository for a GapFill algorithm written in Julia

Analyze the layout of manuscript pages edited according to the conventions of the Homer Multitext project

Models of control pods of remote controlled kites

Similarity search indexes based on neighborhood approximation

Implementation of standard Ewald2D and Ewald3D methods.

Package for our new index of mnemonic discrimination

A framework for approximating functions, operators and solving operator equations

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

Mortar contact mechanics for plane problems

Minifying Atari in Julia

Julia OpenPolicyAgent Client, Server and CLI.

Reusable NeRF components

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

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An opensource implementation of several kernel methods

Minc2 interface for Julia Language

Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering

Method of moving asymptotes implementation for Nonconvex.jl

Global logging for your own modules only!

Estimation of Shannon Entropy for Discrete Random Variables

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

A small package for differentiable discontinuities in Julia.

Julia interface to FEHM

JuliaFEM bindings to Materials.jl

Estimate LoD from data

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Data structures for graph neural network

DEPRECATED! Toolkit to work with the cosmological Tree-SPH code Gadget

Easy, lightweight CLI to manage *.jld2 files.

Utility package to connect to databases in the OMOP CDM format

Set propagation for neural networks in Julia