Variance Covariance Matrices for developers

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LearningHorse.jl is the ML library for JuliaLang.

Drill hole utilities for the GeoStats.jl framework

Elastic foundation contact model for rigid body dynamics.

MLJ.jl interface for JLBoost.jl

JuMP wrapper for IBMQ Optimization Algorithms (ft QUBODrivers.jl)

Working with simple feature GIS data in Julia

Julia library for introspecting Postgres databases

Julia package for solving dynamic programming problems

Lightweight module of physical formulations in Kinetic.jl

Passive tracer dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension

A scatter operation library for neural network

A julia port of the learning environment Kara

Tools for Design Structure Matrix

Fault study formulations for PowerModels and PowerModelsDistribution

Read, analyse, compute, write and convert MTG files

A monolithic Finite Element formulation for the hydroelastic analysis of Very Large Floating Structures

Calculate regressions and abnormal returns for large return datasets quickly

MLJ.jl interface for GLM.jl models

A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

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SymPy with PythonCall backend (not PyCall)

A Julia client for InfluxDB V2 OSS

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

MLJ.jl interface for JLBoost.jl

HorseML.jl is the ML library for JuliaLang.

Create cohorts from databases utilizing the OMOP CDM

The fastest Tropical number matrix multiplication on GPU

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

A straightforward interface to the SuiteSparse Matrix Collection

A package for downloading and working with graph datasets

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

This package is DEPRECATED. Use SIRUS.jl instead

Fractional order systems toolbox in Julia.

Core algorithms and data for X-ray microanalysis calculations

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

Provide pointing calculations for satellites with multiple detectors.

Next Generation Genomic Prediction Tools