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.

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

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

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

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

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Algebraic Multigrid in Julia

Divide and Conquer Linear Algebra

Perceptually Uniform Colour Maps for Julia

Large-scale, distributed, sparse linear algebra in Julia.

Climate science package for Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Sum of Squares Programming for Julia

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

PortAudio wrapper for the Julia programming language, compatible with the JuliaAudio family of packages

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Combinatorial optimization layers for machine learning pipelines

A package for time series data processing, classification, clustering, and prediction.

A standard library of components to model the world and beyond

Equation-based modeling and simulations in Julia

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Periodic Table for Julians! :fire:

A Julia package for producing publication quality figures based on Makie.jl.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Julia package for the construction of quantum lattice systems.

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Interactive visualization tools for Julia

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Using Vulkan from Julia

Utilities and abstractions for Machine Learning tasks

Word cloud generator in julia

Exploratory analysis of Bayesian models with Julia