Bayesian inference with probabilistic programming.

A Julia machine learning framework

An acausal 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

Symbolic programming for the next generation of numerical software

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

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

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

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

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Grid-based approximation of partial differential equations in Julia

A framework for applied category theory in the Julia language

Julia package for function approximation

Symbolic expressions, rewriting and simplification

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

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra

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

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

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

Next-generation AD

Probabilistic programming via source rewriting

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

Molecular simulation in Julia

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Hypothesis tests for Julia

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

[DEPRECATED] Bioinformatics and Computational Biology Infrastructure for Julia

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

High-performance metaheuristics for optimization coded purely in Julia.

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

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

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

A Bayesian Analysis Toolkit in Julia

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

Branch-and-Price-and-Cut in Julia

Causal inference, graphical models and structure learning in Julia

Tools for the exploration of chaos and nonlinear dynamics

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

A Julia package for solving systems of polynomials via homotopy continuation.