Julia package for using Jags as an external program

MATLAB-based solver package of Maxwell's equations by the FDFD method

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Exploring practical possibilities of approximating functions with frames rather than with a basis

A Julia package to solve, simulate, and analyze nonlinear DSGE models.

A collection of methods for manipulating various well-known types of basis functions and recombining them into more general dictionaries

A Julia wrapper for TensorFlow

Julia interface for Reading from the Earth System Datacube

Relax! Flux is the ML library that doesn't make you tensor

Bayesian inference with probabilistic programming.

Utility package for accessing common Machine Learning datasets in Julia

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

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Life Actuarial Maths

Continuous transformations from ℝ or ℝⁿ to various open sets

Climate science package for Julia

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Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Recommender System framework for Julia

Suprise-Python Wrapper for Persa.jl

A Bayesian Analysis Toolkit in Julia

Julia library for dumping data to be read by Stan.

Plots in Julia using the PGFPlots LaTeX package

Read samples from CmdStan into vectors of the appropriate Julia type.

Parallel processing tools for Julia

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Collection of Collaborative Datasets for Persa.jl

A library for arithmetic and algebra with multi-variable polynomials.

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

Causal inference, graphical models and structure learning in Julia

Model based algorithms for Collaborative Filtering in Julia

Polynomial bases for spectral element methods.

Fast accurate creation, detection and analysis of quantum vortex distributions.

A Julia wrapper for the Alpha Vantage API.

Uniform interface for machine learning in Julia

Simple Dict that is backed on hard disk

A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.

Probabilistic programming via source rewriting