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

Please do not feed the models

Julia Implementation of Transformer models

Geometric Deep Learning for Flux

Computer vision models for Flux

Read ONNX graphs in Julia

Build flexible hierarchical multi-instance learning models.

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

Machine learning with Mill.jl for JSON documents

Import/export ONNX models

I heard you like compile times

Evolve Flux networks from scratch!

Latent Differential Equations models in Julia.

Common hyperparameter scheduling for ML

A Julia package for Flow-based sampling algorithm

Auto differentiation over linear algebras (a Zygote extension)

Differentiable Duckietown

Fast Neural Style Transfer in Julia

Benchmarks across Deep Learning Frameworks in Julia and Python