ACME.jl - Analog Circuit Modeling and Emulation for Julia

Package for Simulation, Tomography and Analysis of Quantum Computers

A Julia/JuMP Package for Unbalanced Power Network Optimization

-

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)

Convenience meta-package to load essential packages for statistics

Read ONNX graphs in Julia

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 fast image augmentation library in Julia for machine learning.

It slices, it dices, it splices!

ConstraintSolver in Julia: Blog posts ->

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

Fermi quantum chemistry program

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

A Julia interface to the CPLEX solver

Plotting graphs with Makie

System Identification toolbox, compatible with ControlSystems.jl

A solver for mixed-integer convex optimization

Proximal operators for nonsmooth optimization in Julia

Beautiful and flexible vizualizations of high dimensional data

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Proximal algorithms for nonsmooth optimization in Julia

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

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

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

Library for finding the roots of a function using interval arithmetic

Julia package for simulating Dynamics on Networks

Algorithms and data structures for game theory in Julia

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

Complex neural network examples for Flux.jl

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

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

Solve non-linear HJB equations.

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

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

Flexible tables with ordered indices

A flexible neural net training library inspired by fast.ai