Julia package powering VIVA, our tool for visualization of genomic variation data. Manual:

Stochastic Optimization, Learning, Uncertainty and Sampling

Show dependency tree of Julia project

Julia Library for Interatomic Potentials

OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.

Writing financial contracts in Julia

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Home of the MLJ model registry and tools for model queries and mode code loading

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

Solve Fractional Differential Equations using high performance numerical methods

Spin dynamics and generalization to SU(N) coherent states

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

High level functions for analyzing the output of simulations

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

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Fast, scalable and flexible Outlier Detection with Julia

A julia package for representing and manipulating model semantics

🧬High-performance genetics- and genomics-related data visualization using Makie.jl

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Solid state detector field and charge drift simulation in Julia

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP

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Preheat your MCMC

Julia package for formulating and analyzing stochastic recourse models.

A package for solving Differential Dynamic Programming and trajectory optimization problems.

Modeling and Simulation of 3D systems

Survival analysis in Julia

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Implementation of the Deep Q-learning algorithm to solve MDPs

Julia toolkit for open quantum system simulation.

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

A simple tool for simulating trapped ion systems

Trivial functions for working with coverage for packages locally.

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Simulation and visualization of articulated rigid body systems in Julia

Sequential Monte Carlo algorithm for approximation of posterior distributions.

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Generalized mean-field equations in open quantum systems