A Julia framework for invertible neural networks

Math with more good bits

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Algorithms for quantifying associations, independence testing and causal inference from data.

Finite Element tools in Julia

A Julia package for strided array views and efficient manipulations thereof

Algorithms for quantifying associations, independence testing and causal inference from data.

Load and create NetCDF files in Julia

Time series market data

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

A development environment for robust and global optimization

Lasso/Elastic Net linear and generalized linear models

Package for Simulation, Tomography and Analysis of Quantum Computers

A Julia/JuMP Package for Unbalanced Power Network Optimization

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A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

Interior point solver for general convex conic optimization problems

Convenience meta-package to load essential packages for statistics

Read ONNX graphs in Julia

Automatically update the [compat] entries for your Julia package's dependencies

ORM layer for Genie.jl, the highly productive Julia web framework

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

A greedy game engine for greedy programmers!

A fast image augmentation library in Julia for machine learning.

Show Julia profiling data in an explorable HTML page

Quantlib implementation in pure Julia

It slices, it dices, it splices!

ConstraintSolver in Julia: Blog posts ->

Multivariate polynomials interface

Gaussian Process package based on data augmentation, sparsity and natural gradients

Fermi quantum chemistry program

Interactive display of images and movies

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

An abstract interface for automatic differentiation.

A Julia interface to the CPLEX solver

Journal-style regression tables

Plotting graphs with Makie

Efficient and type-stable physical quantities in Julia

System Identification toolbox, compatible with ControlSystems.jl