Julia package for solving dynamic programming problems

PandaModels is the developing Julia package that contains supplementary data and codes to prepare pandapower networks in a compatible format for PowerModels.jl.

SymPy with PythonCall backend (not PyCall)

Chemometrics Data Respository, Scraper, and Fetcher.

Standardized regression predictors for use with StatsModels.jl (centered, z-scored, etc.)

Create cohorts from databases utilizing the OMOP CDM

Julia package for the spin wave theory of magnetically ordered quantum spin systems.

Takes a power grid case and generates OPF samples by changing the input parameters.

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

Ocean color data processing and analysis

Automatic Jacobian sparsity detection using minimal scalar tracing and autodifferentiation

Amaru - Finite element library

Variance Covariance Matrices for developers

Reinforcement learning, compositionally

Tools for Design Structure Matrix

Useful extensions for Yao

An implementation of the Xi Correlation coefficient and hypothesis test as originally described by Chatterjee (2021).

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Computations on genome locations, inspired by BioConductor.

Tools for constructing and analyzing the incidence graph or matrix of variables and constraints in a JuMP model

Indexes for image quality assessment

Corner Related Algorithms ⛶

Utilities of gauge fields

Calculate regressions and abnormal returns for large return datasets quickly

A Julia package for computing SU(N) Clebsch-Gordan Coefficients.

A Julia package to represent semiseparable and almost banded matrices

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Amazing package to compute decompositions into irreducibles of explicit group representations and the Wedderburn decomposition for endomorphisms thereof!

A Julia package for Spider Monkey Optimization.

Spherical functions of arbitrary float types

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Julia package providing Schatten norms, including completely bounded norms, such as Kitaev's diamond norm (ubiquitous in, e.g., quantum information processing)

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Fletcher's penalty method for nonlinear optimization models

Quasi-discrete Hankel transform

Memory efficient seismic inversion via trace estimation

Association Rule Mining in Julia

LearningHorse.jl is the ML library for JuliaLang.

Signal temporal logic (STL) formulas and robustness in Julia

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