# I heard lux.jl is moving to reactant.jl. Where can I help?

**URL:** <https://discourse.julialang.org/t/i-heard-lux-jl-is-moving-to-reactant-jl-where-can-i-help/131625>\
**Category:** Machine Learning\
**Tags:** package, lux, reactant\
**Created:** [August 15, 2025, 8:29am UTC](https://discourse.julialang.org/t/i-heard-lux-jl-is-moving-to-reactant-jl-where-can-i-help/131625 "2025-08-15T08:29:43Z")\
**Posts on this page:** 5\
**Page:** 1

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**Author:** ![Tarny\_GG\_Channie](https://avatars.discourse-cdn.com/v4/letter/t/3bc359/32.png) [@Tarny\_GG\_Channie](https://discourse.julialang.org/u/Tarny_GG_Channie)\
**Post date:** [August 15, 2025, 8:29am UTC](https://discourse.julialang.org/t/i-heard-lux-jl-is-moving-to-reactant-jl-where-can-i-help/131625/1 "2025-08-15T08:29:43Z")

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I heard lux.jl is moving to reactant.jl. Personally, that’s a really good news. Not only would it probably be something actionable for me (like implementing machine learning layers), it could also help me get closer to reactant.jl, a package that makes use of MLIR, which I would want to do in the future. Please help get me onboard. What do I start to help contribute?

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**Author:** ![yolhan\_mannes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/yolhan_mannes/32/220485_2.png) [@yolhan\_mannes](https://discourse.julialang.org/u/yolhan_mannes)\
**Post date:** [August 15, 2025, 8:31am UTC](https://discourse.julialang.org/t/i-heard-lux-jl-is-moving-to-reactant-jl-where-can-i-help/131625/2 "2025-08-15T08:31:53Z")

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> <https://github.com/LuxDL/Lux.jl/issues/1141>
>
> \- \[x\] ConvMixer https://github.com/LuxDL/Lux.jl/pull/1063
> \- \[\] DDIM
> \- \[x\] PINN2…DPDE
> \- \[x\] SimpleRNN
> \- \[\] ImageNet
> \- \[x\] HyperNet

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**Author:** ![yolhan\_mannes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/yolhan_mannes/32/220485_2.png) [@yolhan\_mannes](https://discourse.julialang.org/u/yolhan_mannes)\
**Post date:** [August 15, 2025, 8:32am UTC](https://discourse.julialang.org/t/i-heard-lux-jl-is-moving-to-reactant-jl-where-can-i-help/131625/3 "2025-08-15T08:32:51Z")

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> <https://github.com/LuxDL/Lux.jl/issues/1060>
>
> Original Repository: https://github.com/ml-explore/mlx-examples/
> 
> Listing out ex…amples from there which would be nice to have. We don't expect the models to work out the moment they are translated to julia but these also provide us an understanding of what currently works and what doesn't in Reactant
> 
> \### Text Models 
> 
> \- \[\] \[Transformer Language Model Training.\](https://github.com/ml-explore/mlx-examples/tree/main/transformer\_lm)
> \- \[\] Large Scale Text Generation
> - \[\] LLaMA
> - \[\] Mistral
> - \[\] Other LLMs in https://github.com/ml-explore/mlx-examples/tree/main/llms
> \- \[\] Mixture of Experts language model with \[Mixtral 8x7B\](https://github.com/ml-explore/mlx-examples/tree/main/llms/mixtral).
> \- \[\] Parameter efficient fine-tuning with \[LoRA or QLoRA\](https://github.com/ml-explore/mlx-examples/tree/main/lora).
> \- \[\] Text-to-text multi-task Transformers with \[T5\](https://github.com/ml-explore/mlx-examples/tree/main/t5).
> \- \[\] Bidirectional language understanding with \[BERT\](https://github.com/ml-explore/mlx-examples/tree/main/bert).
> 
> \### Image Models 
> 
> \- \[\] Image Generation
> - \[\] \[FLUX\](https://github.com/ml-explore/mlx-examples/tree/main/flux) (not the julia package Flux.jl)
> - \[\] \[Stable Diffusion or SDXL\](https://github.com/ml-explore/mlx-examples/tree/main/stable\_diffusion)
> \- \[x\] Convolutional variational autoencoder \[(CVAE) on MNIST\](https://github.com/ml-explore/mlx-examples/tree/main/cvae).
> 
> \### Audio Models
> 
> \- \[\] Speech recognition with \[OpenAI's Whisper\](https://github.com/ml-explore/mlx-examples/tree/main/whisper).
> \- \[\] Audio compression and generation with \[Meta's EnCodec\](https://github.com/ml-explore/mlx-examples/tree/main/encodec).
> 
> \### Multimodal models
> 
> \- \[\] Joint text and image embeddings with \[CLIP\](https://github.com/ml-explore/mlx-examples/tree/main/clip).
> \- \[\] Text generation from image and text inputs with \[LLaVA\](https://github.com/ml-explore/mlx-examples/tree/main/llava).
> \- \[\] Image segmentation with \[Segment Anything (SAM)\](https://github.com/ml-explore/mlx-examples/tree/main/segment\_anything).
> 
> \### Other Models 
> 
> \- \[x\] Semi-supervised learning on graph-structured data with \[GCN\](https://github.com/ml-explore/mlx-examples/tree/main/gcn). \[#1210\]
> \- \[x\] Real NVP \[normalizing flow\](https://github.com/ml-explore/mlx-examples/tree/main/normalizing\_flow) for density estimation and sampling.

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<div class="post-metadata">

**Author:** ![yolhan\_mannes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/yolhan_mannes/32/220485_2.png) [@yolhan\_mannes](https://discourse.julialang.org/u/yolhan_mannes)\
**Post date:** [August 15, 2025, 8:34am UTC](https://discourse.julialang.org/t/i-heard-lux-jl-is-moving-to-reactant-jl-where-can-i-help/131625/4 "2025-08-15T08:34:21Z")

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> <https://github.com/chengchingwen/Transformers.jl/issues/170>
>
> The SciML ecosystem strongly prefers Lux.jl (see https://github.com/SciML/DiffEq…Flux.jl README)
> 
> it would be nice if Transformers.jl could also be put on top of Lux.jl

If possible make your own repo implement some of those and simply post it in the issue after (for any of the three I gave)

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**Author:** ![Tarny\_GG\_Channie](https://avatars.discourse-cdn.com/v4/letter/t/3bc359/32.png) [@Tarny\_GG\_Channie](https://discourse.julialang.org/u/Tarny_GG_Channie)\
**Post date:** [August 15, 2025, 8:43am UTC](https://discourse.julialang.org/t/i-heard-lux-jl-is-moving-to-reactant-jl-where-can-i-help/131625/5 "2025-08-15T08:43:05Z")

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Thank you.