<story><title>FastAI.jl: FastAI for Julia</title><url>https://forums.fast.ai/t/ann-announcing-fastai-jl-fastai-for-julia/90228</url></story><parent_chain></parent_chain><comment><author>oxinabox</author><text>I think particular nice thing about this is that it is a bundle of nice libraries integrated together well, with nice docs.
Those libraries in turn also break down into other nice libraries and so forth (but many don&amp;#x27;t have does quite this nice) because that is how Julia is.&lt;p&gt;I can&amp;#x27;t seem myself ever using FastAI.jl (though I am sure many will).
But I absolutely can see myself using Flux + FluxTraining.jl which nicely brings together TensorBoardLogger and EarlyStopping and several other things.
(&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;FluxML&amp;#x2F;FluxTraining.jl&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;FluxML&amp;#x2F;FluxTraining.jl&lt;/a&gt;)
And I can well imagine many will use DataLoaders.jl + Flux.&lt;p&gt;I feel like this project has nicely rounded out the ecosystem.
Making standard tools where before there were a bunch of individual solutions per project.
(Like I currently do use TensorBoardLogger + Flux directly with my own custom training loop)</text></comment>
<story><title>FastAI.jl: FastAI for Julia</title><url>https://forums.fast.ai/t/ann-announcing-fastai-jl-fastai-for-julia/90228</url></story><parent_chain></parent_chain><comment><author>ellisv</author><text>This is interesting to me but the motivation behind this is unclear. Since FastAI.jl uses Flux, and not PyTorch, functionality has to be reimplemented. FastAI.jl has vision support but no text support yet.&lt;p&gt;What does this mean for the development of fastai?&lt;p&gt;What is the timeline for FastAI.jl to achieve parity?&lt;p&gt;When should I choose FastAI.jl vs fastai?</text></comment>