The Yao compiler project

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Memory efficient one-hot array encodings

Performance evaluation tools for multiclass, multirater classification models

Nonlinear regression in Julia

Bayesian inference on wiring diagrams.

Hard-Forked from JuliaText/TextAnalysis.jl

A computational graph for time-series processing.

Diffusion MRI Simulation Toolbox in Julia

Representing machine learning models using mathematical programming

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.

LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.

Automatic compilation for Julia packages

A Julia package to extend the notion of vectors and matrices

Relational piecewise-linear overapproximations of multi-dimensional functions

Mixed complementarity problems parameterized by "runtime"-parameters with support for implicit differentiation.

Source code for https://nature.com/articles/s41467-019-10933-3

Julia wrapper to OpenMDAO

Low Inertia Transient Simulation Toolbox for Power Systems

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Core methods and structures for neuroscience research in Julia.

[wip] Julia bridge to JSXGraph for interactive plots

Standard input/output package for AtomsBase-compatible structures

✂️ Pooled CRISPR screen optimization tool

Make turbulence with words

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

Analysis of Single Cell Expression data in Julia

Implementation of the MLJ scientific type convention

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Transpile from Julia to Python

Supports approximating functions and solving differential equations on various higher dimensional domains such as disks and triangles

Core interface to design, solve, and simulate trajectory games.

Uniform interface for machine learning in Julia

Tools for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)

Working efficiently with datasets where observations have associated uncertainties.

Design scalable noise characterisation experiments for quantum computers

A julia package to load images using bioformats