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

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

Finite Element tools in Julia

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

Julia port of L.J.P. van der Maaten and G.E. Hintons T-SNE visualisation technique.

ACME.jl - Analog Circuit Modeling and Emulation for Julia

A Julia/JuMP Package for Unbalanced Power Network Optimization

Package for Simulation, Tomography and Analysis of Quantum Computers

-

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

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)

A greedy game engine for greedy programmers!

ConstraintSolver in Julia: Blog posts ->

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

Fermi quantum chemistry program

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

Plotting graphs with Makie

Web server to run just the `@bind` parts of a Pluto.jl notebook

System Identification toolbox, compatible with ControlSystems.jl

Proximal algorithms for nonsmooth optimization in Julia

The Base interface of the SciML ecosystem

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

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

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

Complex neural network examples for Flux.jl

Algorithms and data structures for game theory in Julia

Julia package for simulating Dynamics on Networks

OpenStreetMap (*.osm) support for Julia 1.0 and up

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

Solve non-linear HJB equations.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

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

Flexible tables with ordered indices

A flexible neural net training library inspired by fast.ai

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.