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.

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Perceptually Uniform Colour Maps for Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Algebraic Multigrid in Julia

Climate science package for Julia

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

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

Julia library for homological persistence

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

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

Sum of Squares Programming for Julia

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

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

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

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

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.

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

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

Statistical bootstrapping library for Julia

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Word cloud generator in julia

Utilities and abstractions for Machine Learning tasks

Explainable AI in Julia.

Starter kit for legendary models

Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.

Exploratory analysis of Bayesian models with Julia

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

Package for dynamical modeling of power grids

Optimization package for the Security-Constrained Unit Commitment Problem

Local regression, so smooooth!

Parallel distributed-memory version of Gridap