From e103e20ca9e2d296fbb7b86596f6d424af77bf8e Mon Sep 17 00:00:00 2001
From: Michael Abbott <32575566+mcabbott@users.noreply.github.com>
Date: Wed, 20 Mar 2024 22:49:31 -0400
Subject: [PATCH] Add Ignite.jl to ecosystem.md (#2395)

* Add Ignite.jl to ecosystem.md

* Update docs/src/ecosystem.md
---
 docs/src/ecosystem.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/src/ecosystem.md b/docs/src/ecosystem.md
index d70fc0859c..050b8e69fc 100644
--- a/docs/src/ecosystem.md
+++ b/docs/src/ecosystem.md
@@ -52,6 +52,8 @@ Utility tools you're unlikely to have met if you never used Flux!
 
 - [FastAI.jl](https://github.com/FluxML/FastAI.jl) is a Julia port of Python's fast.ai library.
 - [FluxTraining.jl](https://github.com/FluxML/FluxTraining.jl) is a package for using and writing powerful, extensible training loops for deep learning models. It supports callbacks for many common use cases like hyperparameter scheduling, metrics tracking and logging, checkpointing, early stopping, and more. It powers training in FastAI.jl
+- [Ignite.jl](https://github.com/jondeuce/Ignite.jl) is a Julia port of the Python library `ignite` for simplifying neural network training and validation loops, using events and handlers.
+- [Tsunami.jl](https://github.com/CarloLucibello/Tsunami.jl) adds high-level ways to control training, parameter schedules & logging, heavily inspired by `pytorch-lightning`.
 
 ### Datasets