🌾 declarative crop modeling framework

A modern, high-performance and comprehensive set of tools for transformations between any standard and user-defined reference frame.

Effects Prediction for Regression Models

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Repository for the ConScape package for landscape ecology

Physics-Enhanced Regression for Initial Value Problems

Simulation tools for Mixed Models

Spiral engraving effect

Find the Delaunay triangulation for a set of points

Easily optimize generic performance metrics in differentiable learning.

Tools for working with color schemes, color maps, gradients

Computational material models

Finite State Projection algorithms for chemical reaction networks

Lazy, structured, and efficient operations with kernel matrices.

Self-contained, well-tested, well-documented Analytical Solutions of Quantum Mechanical Equations.

An opinionated layer on top of FFTW.jl to provide simpler FFTs for everyone.

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Open-source Julia tool for transmission and distribution expansion planning considering storage and demand flexibility

An algorithmic framework for parallel dual decomposition methods in Julia

A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.

An hierarchical adaptive sparse-grid implementation in the julia language

A Julia wrapper of Python's lale automl package

Julia package to compute weights and points for the classical Gauss quadrature rules

Kinematic calibration for robots using motion capture data

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DynamicHMC versions of StatisticalRethinking models

Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Julia

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A Julia package for extracting mutation signatures using topic models

Clinical Trial related calculation: descriptive statistics, power and sample size calculation, randomization.

FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.

Julia's HPC command for automatic feature/model selection using all-subset-regression approaches

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A Julia package for data discretization and label maps

Simulating Rydberg atom dynamics with Tensor Networks

From Semiconductor to TransistorLevel Modeling in Julia

A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.

Gaussian distributions as state variables and for uncertainty quantification with Unitful

GPT-3 as a generative function in Gen.

Julia package for multicellular modeling