Category Theory Framework

Interactive widgets to work with tabular data in Julia

Memory efficient seismic inversion via trace estimation

SymPy with PythonCall backend (not PyCall)

Package for parsing XBRL

Network visualization, tensor network, lattice et. al.

Utilities for fitting and testing variance component models

StaticArray style ranges

A Julia wrapper for VisualDL aims for deep learning visualization

Within-subject variance estimation by robust regression (WiSER)

WGPU graphics library julia

Find timezone from latitude and longitude

Water wave models in one dimension

A collection of standard topology optimisation problems.

Julia module to fit and analyze stochastic gene transcription models

Modular tracking algorithm for various GNSS Systems

An high-level interface for Zarr datasets

Fast accurate creation, detection and analysis of quantum vortex distributions.

The (not) Discord.jl fork

High-performance Julia package for online learning of binomial synaptic release models

Connecting MLJ and MLFlow

An optimal power flow tool for perfoming CBA analysis of AC/DC networks

Ecosystem properties based on a 'big-leaf' representation of the vegetation

A collection of chaotic ODEs.

Wrapper for the constraint-programming solver Chuffed to Julia

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A set of common benchmark functions for testing optimization algorithms in Julia

Metric Gaussian Variational Inference

Engineering Thermodynamics infrastructure in Julia

Elastic and fault tolerant parallel map and parallel map reduce methods. Part of the COFII framework.

Plot Wigner function and density matrix generated by QuantumStateBase.jl

Efficient inverse statistical mechanical algorithms to generate effective potentials or configurations from pair correlation functions or structure factors.

Construct a mapping from the unit circle to a closed polygon.

Nonlinear solver bindings for the SciML Interface

Entropic Cone approximation and optimization

Julia package for performing MPI measurements

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Implementation of several algorithms for combinatorial bandits, a kind of reinforcement learning.

Generate population growth rate maps from spatial data

A computational toolbox for level set-based topology optimisation in Julia