A Julia library for efficient tensor computations and tensor network calculations

Meta-package for data analysis in Julia, modeled after the R tidyverse.

A Control Systems Toolbox for Julia

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Metaprogramming tools for DataFrames

Utility library for working with CSV and other delimited files in the Julia programming language

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Julia package for tensor contractions and related operations

Julia library for stylized terminal output

Statistical plotting recipes for Plots.jl

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Next-generation AD

Density-functional toolkit

Play atmospheric modelling like it's LEGO.

Combine ingredients for a plot

Julia library for plotting with plotly.js

Probabilistic programming via source rewriting

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Print data in formatted tables.

A Julia package for fitting (statistical) mixed-effects models

Computational geometry in Julia

Molecular simulation in Julia

Binary Dependency Builder for Julia

"Distributions" that might not add to one.

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Julia package for text analysis

Web-based GUIs for Julia

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Time series toolkit for Julia

Geometric Deep Learning for Flux

Surrogate modeling and optimization for scientific machine learning (SciML)

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

Computer vision models for Flux

The reactive UI library for interactive data applications with pure Julia.

Modeling and simulation of multidomain engineering systems

Efficient implementation of struct arrays in Julia

Call R from Julia

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R