A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

A Julia machine learning framework

Julia Implementation of Transformer models

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.

A full end-to-end modular software suite for radiative transfer and related atmospheric analysis

Jet transform operators that depend on FFTW.jl, and Wavelets.jl. Part of the COFII framework.

Repository of best practices for deep learning in Julia, inspired by fastai

PointNeighbors.jl: Neighborhood search with fixed search radius in Julia

Fast and automatic structural identifiability software for ODE systems

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

Computer vision models for Flux

Koç University deep learning framework.

Molecular simulation in Julia

One stop solutions for all things optimization

A turbulence-convection single column model cloud parameterization.

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

CPU/GPU parallel performance portable layer in Julia via functions as arguments

A package for Joint Energy Models and Energy-Based Models in Julia.

Collection of Functions useful for testing various packages in the Lux Ecosystem

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

Base package that ships symbols and functionality that is relevant to all or multiple packages in the ecosystem

Lightweight module for fusing physical and neural models

Complex neural network examples for Flux.jl

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

(Experimental) Predicting hand assignments in piano MIDI using neural networks

A Julia package for real-time audification of ODEs and SDEs

Bayesian Generalized Linear models using `@formula` syntax.

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GPU integrations for Dagger.jl

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Fast operator-overloading Jacobian & Hessian sparsity detection.

A package for plotting custom symbols from Taija packages.

Optimal transport algorithms for Julia

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Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

A package for wrapping iterative MLJ models in a control strategy

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