A Julia/JuMP Package for Petroleum Network Optimization

Clustering using Silhouettes and Genetic Algorithms

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This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system

A Julia package for the calculation of Mie scattering based on a 1:1 port of miepython

Differentiable rasterisation of point clouds in julia

Differentiable, CUDA supported, image rotation algorithm in Julia.

Linear and logarithmic quantization for Julia arrays

A lightweight Julia package for eQTL genome scans near real-time.

Rolling lookups between a `key` source and secondary streams

Backend-agnostic differentiation with symbolic pass-through in Julia.

Solving a partitioning problem exactly

Scalable and distributed matrix-free abstractions for machine learning and scientific computing

A Julia implementation of several tools for solving school-choice problems and computing equilibria in nonatomic school-choice markets.

Container type for convenient calculations with logspace probabilities

Client for simulating quantum computers in cloud

Document your data sets

Trigger Package for AMDGPU Support in Lux.jl

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Julia wrapper for the Lyra Visualization Design Environment

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Particle methods in Julia

A Julia library for working with curvilinear grids

Updates of high order cumulant tensors

Fast `StatsBase.countmap` for small types on the GPU via CUDA.jl

Julia package for CT images reconstruction and analysis

Simple CSV reader that performs well

A Julia package to efficiently handle repetitive patterns

Provides some crystallography operations

MultiGrid Barrier method

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[deprecated] Renamed to https://github.com/JuliaOpt/MosekTools.jl

A plugin to Dagger with various fancy or experimental features.

Julia interface for CPLEX CP Optimizer

Spectral temporal filters banks for modeling A1, as described in Chi, Ru & Shamma 2005

Multimodal datasets for Machine-Learning

Core functions to obtain L1-L2 penalized estimates for matrix linear models.

A Julia package supplying abstractions and operations for efficiently working with parcels, or regions of interest, on a CorticalSurface