Dolo modeling language

IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.

Next generation permafrost process modeling in the Julia programming language.

A Julia package for mapping qualitative data patterns to regions of a model's parameter space.

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Partitioned derivatives storage and partitioned quasi-Newton updates

Julia API for Intan RHD2000

Differentiable 2d rasterizer in Julia

'Pareto optimal' package recommendations for your current dependencies.

Differentiable constraint-based metabolic models

Toolbox for quantum information, nonlocality, and entanglement

A Julia package for efficiency and productivity measurement using Data Envelopment Analysis (DEA)

Linear Regression for Julia

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Various tools to process financial time series

Fast, allocation-free PSF representations

Coordinate and Incremental Aggregated Optimization Algorithms

A pure-Julia take on standard net survival routines

HorseML.jl is the ML library for JuliaLang.

Working with simple feature GIS data in Julia

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This repository performs radiative heat transfer calculations in a user defined enclosure with a participating medium by using Monte Carlo ray tracing to obtain exchange factors allowing for quick heat transfer calculations

Fast rasterization of huge amounts of tiny transparent points (in Julia)

Game Theoretic Planning

Julia package providing access to the Fama-French data available on the Ken French Data Library

Create cohorts from databases utilizing the OMOP CDM

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Implements the Neural Quantum State algorithm for Julia.

Core algorithms for equation-based modeling

Essential toolkits for working with autoregressive models

Association Rule Mining in Julia

Chemometrics Data Respository, Scraper, and Fetcher.

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Julia package for solving dynamic programming problems

Drill hole utilities for the GeoStats.jl framework

A package for Julia with several functions to perform satellite analysis.

A set of tools for analyzing molecular dynamics simulations

Calculate regressions and abnormal returns for large return datasets quickly

Non-linear dimensional reduction using SimilaritySearch (ManifoldLearning and UMAP)

Some helper functions to make some group by operations on DataFrames and IndexedTables faster