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

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

Geometric Deep Learning for Flux

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

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

Complex neural network examples for Flux.jl

A flexible neural net training library inspired by fast.ai

3D computer vision library in Julia

The Deep Learning with Julia book, using Flux.jl.

AlphaGo Zero implementation using Flux.jl

Distributed computation of differentiation pipelines to use multiple workers, devices, GPU, etc. since Julia wasn't fast enough already

Use Optim to train Flux models and visualize loss landscapes

Distributed Data Parallel Training of Deep Neural Networks

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

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

I heard you like compile times

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

A series of educational Deep Learning Koans, using Julia and Flux.jl

A comprehensive collection of 35+ recurrent neural network layers for Flux.jl

Pruning framework and methods for Flux

Heard you like GPUs

Experimental features for Flux.jl

flux reconstruction method for advection-diffusion type physics

Introduction to deep learning using Flux.jl

Differentiable programming on quantum circuits with Flux

A package for computing surface fluxes between the atmosphere, ocean and land models.

Implementation of a Convolutional Variational Autoencoder in Flux.jl

Benchmarks for the FluxML ecosystem for deep learning, scientific machine learning, differentiable programming etc including AD and CUDA accelerated workloads

A Julia package for inverse problems in optics with differentiable forward models.

Dive into Deep Learning, with Julia programming language and Flux.jl.