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Accelerate your ML research using pre-built Deep Learning Models with Lux

Building and using pyramids for large raster data

Clima's Land Model

Incompressible Navier-Stokes solver

Molecular backbone geometry utilities

Model and solve optimal control problems in Julia

Bayesian inference with probabilistic programming.

Groebner bases in (almost) pure Julia

A framework for out-of-core and parallel execution

High-performance parallel and distributed datastore for Julia

Implementation of variational Bayes inference algorithms

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Direct transcription of an optimal control problem and resolution

BOSS (Bayesian Optimization with Semiparametric Surrogate)

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

The Julia implementation of the generalised hierarchical Gaussian filter

A Julia package for behavioural modeling

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

A flexible neural net training library inspired by fast.ai

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

A Julia package for parallel peridynamics simulations

Graph Neural Networks in Julia

Particle-in-Cell advection

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

Atomic graph models for molecules and crystals in Julia

Relax! Flux is the ML library that doesn't make you tensor

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

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

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Backend for Lux.jl

AMD GPU (ROCm) programming in Julia

Structure Preserving Machine Learning Models in Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

Protein ribbon plots implemented in Julia using Makie

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia