Associated Legendre Polynomials and Spherical Harmonics in Julia

SQL for Julia Tables |> DataFrame

An interface for calling MPICH-compatible MPI implementations from standalone Julia executables

Beeswarm plots for Makie.jl!

Framework for symmetric tensors

Julia implementations of temporal difference Reinforcement Learning algorithms like Q-Learning and SARSA

TreeKnit is a package that infers Ancestral Reassortment Graphs for segmented genomes (typically, human influenza).

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Variography for the GeoStats.jl framework

Vecchia approximations for Gaussian log-likelihoods

Weighted version of OnlineStats.jl

A Keras-like experimental Deep Learning framework in Julia 1.6

Julia wrapper for Acoustics Toolbox (Bellhop, Kraken, ...)

Differentiable constraint-based metabolic models

Toolkit for extraction and analysis of typhoon/climate data in the Western-North Pacific (WNP) region

A minimal implementation of bezier curves in julia

High performance Brillouin Zone Meshes

Differentiable 2d rasterizer in Julia

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Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

High performance Brillouin Zone Meshes

Bundle Methods in Julia

Next generation permafrost process modeling in the Julia programming language.

A Keras-like experimental Deep Learning framework in Julia 1.6

Julia Package for Count Data Time Series

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

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Tophats at ludicrous speeds.

Coordinate and Incremental Aggregated Optimization Algorithms

Amaru - Finite element library

COnstraint Based Reconstruction and EXascale Analysis (in Julia)

Essential toolkits for working with autoregressive models

Analytical solutions for groundwater contaminant transport

Reinforcement learning, compositionally

Game Theoretic Planning

Tools for generating cubed sphere grids and solving partial differential equations on the sphere.

Direct transcription of an optimal control problem and resolution

Calculate regressions and abnormal returns for large return datasets quickly