Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

Crafty statistical graphics for Julia.

A general-purpose probabilistic programming system with programmable inference

Bayesian inference with probabilistic programming.

A Julia machine learning framework

High level plotting on the GPU.

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

A Julia wrapper for TensorFlow

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

A fast and modern CAS for a fast and modern language.

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

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

Award winning software library for nonlinear dynamics

Generalized linear models in Julia

Julia implementation of QuantEcon routines

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

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

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

Library for the numerical simulation of closed as well as open quantum systems.

Optical Simulation software

Climate Machine: an Earth System Model that automatically learns from data

Probabilistic programming via source rewriting

Statistical plotting recipes for Plots.jl

A Julia package for fitting (statistical) mixed-effects models

Black-box optimization for Julia

Probabilistic Programming with Gaussian processes in Julia

An extensible framework for high-performance geostatistics in Julia

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

Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

A Julia package for Gaussian Processes

Modeling and simulation of multidomain engineering systems

Abstractions, algorithms, and utilities for reinforcement learning in Julia

Simple curve fitting in Julia

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

Local, global, and beyond optimization for scientific machine learning (SciML)

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software

Hypothesis tests for Julia

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Linear operators for discretizations of differential equations and scientific machine learning (SciML)