Read and write Excel, Word and PDF documents in Julia

Algorithms and data structures for game theory in Julia

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.

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

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

Julia library for homological persistence

Climate science package for Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Sum of Squares Programming for Julia

Roll a window over data; apply a function over the window.

Julia implementation of Parquet columnar file format reader

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

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

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Combinatorial optimization layers for machine learning pipelines

A standard library of components to model the world and beyond

Equation-based modeling and simulations in Julia

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

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.

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.

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.

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

Fast and automatic structural identifiability software for ODE systems

Statistical bootstrapping library for Julia

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

Read and write feather files in pure Julia

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Utilities and abstractions for Machine Learning tasks

Access MySQL from Julia