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

Interior point solver for general convex conic optimization problems

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)

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

Convenience meta-package to load essential packages for statistics

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)

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

A fast image augmentation library in Julia for machine learning.

Quantlib implementation in pure Julia

ConstraintSolver in Julia: Blog posts ->

Fermi quantum chemistry program

Interactive display of images and movies

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

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

System Identification toolbox, compatible with ControlSystems.jl

Proximal operators for nonsmooth optimization in Julia

The Base interface of the SciML ecosystem

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Library for finding the roots of a function using interval arithmetic

PDF Reader Library for Native Julia.

A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

ODE integration using Taylor's method, and more, in Julia

Technical analysis of financial time series in Julia

Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl

Julia package for simulating Dynamics on Networks

Complex neural network examples for Flux.jl

Algorithms and data structures for game theory in Julia

Differentiating convex optimization programs w.r.t. program parameters

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Arrays which also have a label for each element for easy scientific machine learning (SciML)

A flexible neural net training library inspired by fast.ai

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Julia type that implements a drop-in replacement of Array with named dimensions

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Algebraic Multigrid in Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Perceptually Uniform Colour Maps for Julia

Create a beautiful landing page for your package in less than 10 minutes.