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Relax! Flux is the ML library that doesn't make you tensor

28 mentions on Hacker News by 20 people: 3 stories, 25 comments · first 2018-03-30 · latest 2025-05-09

Mentions per year 28 mentions · busiest year 2019 (12)
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  1. …and other NN fused kernels: https://github.com/pxl-th/NNop.jl - Flux.jl a Deep-Learning library: https://github.com/FluxML/Flux.jl
    comment by pxl-th · 2025-05-09 · in AMD GPU Programming in Julia
  2. …in Julia: https://juliapackages.com/packages?sort=stars . It has been around since, at least, 2016: https://github.com/FluxML/Flux.jl/graphs/code-frequency .
    comment by nextos · 2024-08-01 · in Flux: Open-source text-to-image model with 12B parameters
  3. Flux is quite a nice lower level library: https://github.com/FluxML/Flux.jl On top of that there are many higher level libraries such as Transformers.jl https://github.com/chengchingwen/Transformers.jl
    comment by teruakohatu · 2023-12-27 · in Julia 1.10
  4. …If you stick with torch, jax or tensorflow, everything seems to work better regarding AD. [0]: https://github.com/FluxML/Flux.jl [1]: https://github.com/FluxML/Zygote.jl [2]: https://github.com/JuliaDiff/Diffractor.jl [3]:…
    comment by roflmaostc · 2023-12-04 · in Potential of the Julia programming language for high energy physics computing
  5. …the Flux.jl library itself is looking to do a redesign that eliminates implicit parameters ( https://github.com/FluxML/Flux.jl/issues/1986 ). Which design will be the one in the end, that's uncertain right now, but it's clear that no…
    comment by ChrisRackauckas · 2022-06-26 · in Why I still recommend Julia
  6. …Project.toml for both Flux and DiffEqFlux still lists Zygote as a dependency. Neither list Enzyme. https://github.com/FluxML/Flux.jl/blob/master/Project.toml https://github.com/SciML/DiffEqFlux.jl/blob/master/Project.t...
    comment by patrick451 · 2022-05-05 · in Jax vs. Julia (Vs PyTorch)
  7. …for NLP, though to my knowledge neither makes use of RNNs. You may be interested in commenting on https://github.com/FluxML/Flux.jl/issues/1678 .
    comment by BadInformatics · 2021-07-28 · in FastAI.jl: FastAI for Julia
  8. Maybe keep an eye on this issue: https://github.com/FluxML/Flux.jl/issues/1431 They are going for feature parity with pytorch hopefully in the near term.
    comment by huitzitziltzin · 2021-01-18 · in Julia adoption keeps climbing
  9. A subset of Python for one, and debugging stays awkward with gdb. Makes me think of this little pun: https://github.com/FluxML/Flux.jl/blob/master/src/utils.jl#L...
    comment by stabbles · 2020-10-20 · in The Accelerating Adoption of Julia
  10. …blocks. [1] https://github.com/FluxML/Zygote.jl [2] https://github.com/JuliaGPU/CUDAnative.jl [3] https://github.com/FluxML/Flux.jl
    comment by ddragon · 2020-04-09 · in Swift: Google’s Bet on Differentiable Programming
  11. …If people are moving away from Tensorflow, then Flux could be a solid alternative as well. [1] https://github.com/FluxML/Flux.jl
    comment by stabbles · 2020-01-30 · in Standardizing OpenAI’s deep learning framework on PyTorch
  12. Depends what you're trying to do, but Flux.jl is pretty nice: https://github.com/FluxML/Flux.jl . Failing that, the Julia Python FFI is very good, so it's possible to use PyTorch almost seamlessly in Julia (I previously used Tensorflow…
    comment by logicchains · 2020-01-26 · in Haskell Problems for a New Decade
  13. …of GNN support in Flux[1]. I really root for Julia and Flux, and I hope it will take off soon. [1] https://github.com/FluxML/Flux.jl/issues/625
    comment by xvilka · 2019-10-11 · in The State of Machine Learning Frameworks
  14. …ourse.julialang.org/t/julia-v1-2-0-rc2-is-now-av... [3] https://julialang.org/blog/2019/05/jsoc19 [4] https://github.com/FluxML/Flux.jl/issues/625
    comment by xvilka · 2019-07-12 · in Statistics with Julia [pdf]
  15. …So if someone wants to help - he can take an issue[1] at the GitHub repository of FluxML[2]. [1] https://github.com/FluxML/Flux.jl/issues/625 [2] https://fluxml.ai/
    comment by xvilka · 2019-06-29 · in A general-purpose probabilistic programming system with programmable inference
  16. …library that allows some very concise code, Knet.jl [4], and the Tensorflow bindings [5]. [1] https://github.com/FluxML/Flux.jl [2] https://github.com/FluxML/Zygote.jl [3] https://julialang.org/blog/2019/01/fluxdiffeq [4]…
    comment by ddragon · 2019-06-10 · in Matlab–Python–Julia Cheatsheet
  17. …nice. Learned a lot from reading their source. [1]: https://github.com/pjreddie/darknet/ [2]: https://github.com/FluxML/Flux.jl
    comment by Datenstrom · 2019-06-09 · in Practical Deep Learning for Coders
  18. …abstractions!). If you want to know more about Julia's plans and philosophy in the regards, see: https://github.com/FluxML/Flux.jl/issues/614
    comment by byt143 · 2019-05-13 · in Swift for Tensorflow 0.3.1
  19. Thanks! Looks quite interesting. Hopefully better seamless GNN support in Julia's FluxML[1]. [1] https://github.com/FluxML/Flux.jl/issues/625
    comment by xvilka · 2019-05-05 · in Graph Matching Networks for Learning the Similarity of Graph Structured Objects
  20. …Julia community to support any types of GNN, there is an issue[1] for FluxML to support those. [1] https://github.com/FluxML/Flux.jl/issues/625
    comment by xvilka · 2019-04-23 · in Graph Convolutional Networks (2016)
  21. …since Julia allows writing programs with either no or minimal allocations, for example [3]. [1] https://github.com/FluxML/Flux.jl [2] https://github.com/JuliaDiffEq/DifferentialEquations.jl [3] https://juliacomputing.com/case-studies/mit-ro…
    comment by ddragon · 2019-04-22 · in Embracing Swift for Deep Learning
  22. It's possible to have both the dynamism and static type checking in Julia. Check out this issue: https://github.com/FluxML/Flux.jl/issues/614
    comment by byt143 · 2019-02-20 · in Deep learning may need a new programming language
  23. …some really cool things, so if you're interested in this field it's definitely worth a look. [1]: https://github.com/FluxML/Flux.jl/blob/master/src/tracker/Tr...
    comment by one-more-minute · 2018-10-23 · in Automatic Differentiation with Julia
  24. …also crazy fast. On the side of neural networks, theres some really exciting stuff in flux.jl: https://github.com/FluxML/Flux.jl whhich provides a beautiful high level interface to a fast neural network written in pure julia. Here's an…
    comment by eigenspace · 2018-06-07 · in Fortran is still a thing (2017)
  25. …machine learning library" Flux is essentially nothing but some clever use of Julia's type system: https://github.com/FluxML/Flux.jl There's some ability to generate javascript too, which you can try here:…
    comment by improbable22 · 2018-03-30 · in Introducing TensorFlow.js: Machine Learning in JavaScript