# Lack of conexionist NN package?

**URL:** <https://discourse.julialang.org/t/lack-of-conexionist-nn-package/129304>\
**Category:** Machine Learning\
**Tags:** question, package\
**Created:** [May 24, 2025, 10:26pm UTC](https://discourse.julialang.org/t/lack-of-conexionist-nn-package/129304 "2025-05-24T22:26:21Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![PepeRoConde](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/peperoconde/32/216987_2.png) [@PepeRoConde](https://discourse.julialang.org/u/PepeRoConde)\
**Post date:** [May 24, 2025, 10:26pm UTC](https://discourse.julialang.org/t/lack-of-conexionist-nn-package/129304/1 "2025-05-24T22:26:21Z")

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I found SOM.jl, NetworkDynamics.jl and Boltzmann.jl to be alone of other packages but not together between themselves. Wouldn’t it be nice a Conexionist Neural Networks pacake? or it be more appropiate to add those into standard Deep Learning packages like Flux.jl or Lux.jl?

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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:** [May 25, 2025, 9:48am UTC](https://discourse.julialang.org/t/lack-of-conexionist-nn-package/129304/2 "2025-05-25T09:48:58Z")

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I guess MLJ.jl would more fit for those.