Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Extensions to MathOptInterface to support constraint programming.

Computing mixed-strategy Nash Equilibria for games involving multiple players

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Building blocks for simple and advanced particle filtering in Gen.

Iterative hard thresholding for l0 penalized regression

Generate and perturb protein structural ensembles using the ExProSE algorithm

Flux reconstruction method for advection-diffusion type physics

One stop solutions for all things optimization

Large scale convex optimization solvers in julia

Enclosures of real-valued functions in Julia

A Meta Package for Machine Learning Interpretation

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

Lazy, parallelizable and composable group-by operations

A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method

Piecewise Deterministic Markov Processes in Julia

Genome-wide association studies (GWAS) for ordered categorical phenotypes

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A PowerModels Extension for Optimization of Power Network Restoration

QuantumWalk.jl: Package for building algorithms based on quantum walks

Matrix pencil manipulations using Julia

Provides a Simple Way to Calculate ANOVAs From Fitted Linear Models.

Finite Element Module for Julia that focusses on gradient-robust discretisations and multiphysics problems

Electrochemical reaction rate modeling and nonequilibrium phase maps (via AD)

Parallel tools for ITensors.jl.

SeaPearl's pool of examples

A Julia package for hierarchically semiseparable (HSS) matrices.

Useful Layers for Knet

Turbulence-resolving simulations of boundary-layer flows (DNS & LES)

Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization

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Welcome to Peridynamic Laboratory (PeriLab), a powerful software solution designed for tackling Peridynamic problems.

Markov Chain Monte Carlo convergence diagnostics in Julia

The Julia implementation of the generalised hierarchical Gaussian filter

A simple, high-level Julia implementation of Numenta HTM algorithms

BlackBoxOptimizationBenchmarking

Julia client for OmniSci GPU-accelerated SQL engine and analytics platform

Differentiable tree-based models for tabular data