Accelerating Machine Learning in Julia using Lux & Reactant
This talk will explore the latest advancements and current state of Lux.jl, a deep-learning framework in Julia. We will also introduce how to use Reactant.jl, a powerful tool that compiles Julia code to MLIR and executes it across various backends using XLA, with Lux. The session will highlight how Reactant.jl and Lux.jl enable training neural networks in Julia at speeds comparable to popular frameworks like JAX and PyTorch.
