High level functions for analyzing the output of simulations

Implementation of variational Bayes inference algorithms

Solid state detector field and charge drift simulation in Julia

Preheat your MCMC

Implementation of the Deep Q-learning algorithm to solve MDPs

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

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Structured optimization in Julia

Bayesian Generalized Linear models using `@formula` syntax.

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

Turing + Makie = Turkie

Taylor-mode automatic differentiation for higher-order derivatives

Global glacier model using Universal Differential Equations for climate-glacier interactions

A operator overloading, tape-based, reverse-mode AD

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Visualization for Flux.Chain neural networks

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Atomic graph models for molecules and crystals in Julia

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

Use Optim to train Flux models and visualize loss landscapes

Distributed Data Parallel Training of Deep Neural Networks

Plotting and interface tools for biology.

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Makie.jl recipes for visualization of Meshes.jl

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The automatically differentiable and GPU-compatible toolkit for CMB analysis.

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A foolproof way of doing ML with GUI elements.

Trajectory Optimization for Robot Arms

Algorithms and syntax for building CSG objects within Julia.

Neuroimaging in Julia

Generic UNet implementation written in pure Julia, based on Flux.jl

A Julia package for robust neural networks.

Documentation and Example Gallery for Makie

Geometric transformations on images for Julia

E.T. Jaynes home phone.

Machine learning with Mill.jl for JSON documents

YOLO Object Detection in Julia