A little less conversation, a little more abstraction

Build flexible hierarchical multi-instance learning models.

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.

High level functions for analyzing the output of simulations

Implementation of the Deep Q-learning algorithm to solve MDPs

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Structured optimization in Julia

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

Taylor-mode automatic differentiation for higher-order derivatives

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

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

Visualization for Flux.Chain neural networks

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

Plotting and interface tools for biology.

Distributed Data Parallel Training of Deep Neural Networks

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.

Makie.jl recipes for visualization of Meshes.jl

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

A foolproof way of doing ML with GUI elements.

The Code Tracer

A Julia package for robust neural networks.

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

Machine learning with Mill.jl for JSON documents

E.T. Jaynes home phone.

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Julia library for deep reinforcement learning

Import/export ONNX models

No need to train, he's a smooth operator

Unitful coordinate reference systems for geographic maps in Julia

I heard you like compile times

Structure Preserving Machine Learning Models in Julia

Evolve Flux networks from scratch!

Interface package for featurizing atomic structures

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Julia package for PEPS algorithms

Clima's Land Model

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.