GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

Types and utility functions for summarizing Markov chain Monte Carlo simulations

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

A toolbox for satellite analysis written in julia language.

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

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

The cheapest threads you can find!

The cheapest threads you can find!

Fast jacobian computation through sparsity exploitation and matrix coloring

Simple chains

WebGL-based 3D visualizer in Julia

Multi-threaded BLAS-like library that provides pure Julia matrix multiplication

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

Utility package for accessing common Machine Learning datasets in Julia

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Grid-based simulations in Julia

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

Graph Neural Networks in Julia

A Julia package for large-scale tensor computations, with a hint of category theory

A Julia wrapper for libpq

Tidier data visualization in Julia, modeled after the ggplot2 R package.

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

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

Sensible extensions for exposing torch in Julia.

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

Raster manipulation for the Julia language

Reservoir computing utilities for scientific machine learning (SciML)

Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains

Neural Network primitives with multiple backends

Implementation of normalising flows and constrained random variable transformations

Research package for automatic differentiation of programs containing discrete randomness.

A Bayesian Analysis Toolkit in Julia

Graph-based molecule modeling toolkit for cheminformatics

Fortran-like arrays with arbitrary, zero or negative starting indices.

Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

Causal inference, graphical models and structure learning in Julia