Causal, Higher-Order, Probabilistic Programming

Core functionality for the MLJ machine learning framework

Automatic Finite Difference PDE solving with Julia SciML

A meta package for data science in julia

Differentiable collision detection for polytopes, capsules, cylinders, cones, spheres, and polygons.

Differentiable RayTracing in Julia

Finite Element tools in Julia

A development environment for robust and global optimization

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Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Fermi quantum chemistry program

System Identification toolbox, compatible with ControlSystems.jl

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

ODE integration using Taylor's method, and more, in Julia

Julia package for simulating Dynamics on Networks

Algorithms and data structures for game theory in Julia

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Solve non-linear HJB equations.

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

A flexible neural net training library inspired by fast.ai

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Perceptually Uniform Colour Maps for Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Divide and Conquer Linear Algebra

Algebraic Multigrid in Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Julia library for homological persistence

Climate science package for Julia

Roll a window over data; apply a function over the window.

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

Hydrological modeling

A type-flexible shallow water model that can run with 16-bit arithmetic.

Line search methods for optimization and root-finding

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Equation-based modeling and simulations in Julia