Combinatorial optimization layers for machine learning pipelines

A standard library of components to model the world and beyond

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

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.

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

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

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

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

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

Julia package for the construction of quantum lattice systems.

Read and write feather files in pure Julia

Interactive visualization tools for Julia

Using Vulkan from Julia

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Word cloud generator in julia

Utilities and abstractions for Machine Learning tasks

Starter kit for legendary models

Explainable AI in Julia.

Exploratory analysis of Bayesian models with Julia

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

Probabilistic Circuits from the Juice library

Optimization package for the Security-Constrained Unit Commitment Problem

Package for dynamical modeling of power grids

Parallel distributed-memory version of Gridap

Transforms and pipelines with tabular data in Julia

Easy peasy logging to TensorBoard with Julia

Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.

A Tables.jl compatible table viewer based on ag-grid

3D computer vision library in Julia

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Ridiculously fast symbolic expressions

MADS: Model Analysis & Decision Support

MagNav: airborne Magnetic anomaly Navigation

Yet Another XArray-like Julia package

Time series implementation for the Julia language focused on efficiency and flexibility

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection