SparkSQL.jl enables Julia programs to work with Apache Spark data using just SQL.

Powerflow for unbalanced three-phase power distribution systems with distributed generation

Deep Learning made easy and fast

Quickly assemble data from the Panel Study of Income Dynamics (PSID)

Extreme value analysis package for Julia

Julia interface to MITgcm

Causal Inference with Invariant Prediction

Geospatial tables compatible with the GeoStats.jl framework

Parser of PSS/E-format Power Flow Raw Data Files (.raw)

A Julia package to estimate the geographic location of IP addresses

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

Financial AI with Julia

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Collection of artificial data generators in julia

OpenMendel package for haplotyping and imputation

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Geothermal Cloud for Machine Learning

A Julia wrapper for the NVIDIA Collective Communications Library.

Diagnostics for Oceananigans

A simple weather app for the Julia REPL

A Julia Package for Machine Learning on the Manifold of Positive Definite Matrices

Implementations of algebraic rewriting techniques like DPO, SPO, SqPO.

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

Convenience functions missing in Julia

Capacity Expansion Problem Formulation for Julia

CurricularAnalytics.jl is a toolbox for studying and analyzing academic program curricula.

A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

Benchmark tools for solvers

Random Integrators for many-body quantum systems

A Julia package for computing processes related to plant ecophysiology and biophysics

Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.

Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

Your local Flux surgeon

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Flux reconstruction method for advection-diffusion type physics

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Plotly integration for Stipple.jl

Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

An open-source toolkit for entropic data analysis