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dmlc/MXNet.jl

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MXNet Julia Package - flexible and efficient deep learning in Julia

Is dmlc/MXNet.jl beginner-friendly?

We have not seen enough recent pull requests from outside contributors to dmlc/MXNet.jl to say how often they are merged. No beginner-friendly issue is open right now; the list below has the other issues we hold for it.

Stars
369
Forks
63
Open beginner issues
0
Indexed issues
40
Dominant language
No language data
License
No license data
Last GitHub push
Jan 7, 2019
Latest indexed
Sep 15, 2026
No contributing guide
No code of conduct
Beginner labels
help wanted
No merged PRs in 30d

How to contribute to dmlc/MXNet.jl

  1. There is no contributing guide, so start from the README and a few recently merged pull requests to see how changes are proposed.
  2. Follow the repository to hear when a new beginner-friendly issue opens, or look through the other issues below.
Beginner friendly Everything
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Issues somebody may already be working on are listed last. List everything by date

  • Import fail MXNET.jl
    Open
    • Is something wrong?

    Difficulty 3/5 1-2 days Newbie friendliness 28/100

    dmlc/MXNet.jl#432 · 2 comments · 1 reaction ·

  • No tools for many index operations DArrays
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 30/100

    dmlc/MXNet.jl#425 · 1 comment ·

  • LoadError: Cannot find or load libmxnet.dylib
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 35/100

    dmlc/MXNet.jl#423 · 16 comments ·

  • Error message for Correlation not very helpful.
    Open
    • Is something wrong?

    Difficulty 3/5 1-2 days Newbie friendliness 35/100

    dmlc/MXNet.jl#421 ·

  • "separate not defined" on the cat example
    Open
    • Is something wrong?

    Difficulty 3/5 1-2 days Newbie friendliness 35/100

    dmlc/MXNet.jl#408 · 4 comments ·

  • port CapsNet example
    Open
    • Is something wrong?
    help wanted

    Difficulty 4/5 3-5 days Newbie friendliness 10/100

    dmlc/MXNet.jl#335 ·

  • NDArray with parametric type?
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dmlc/MXNet.jl#323 · 6 comments ·

  • BoundsError if the batch size is smaller than the dimension of the output
    Open
    • Is something wrong?

    Difficulty 2/5 1-3 hours Newbie friendliness 42/100

    dmlc/MXNet.jl#264 · 1 comment · 1 reaction ·

  • Thrice as much memory for AlexNet on Caltech256 in Julia than in Python. Why?
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 35/100

    dmlc/MXNet.jl#261 · 3 comments ·

  • Can't install MXNet on windows
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dmlc/MXNet.jl#257 · 54 comments ·

  • FTRL optimizer
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dmlc/MXNet.jl#237 · 2 comments ·

  • ArrayDataProvider input format issue
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 35/100

    dmlc/MXNet.jl#236 · 15 comments ·

  • Custom cost function is not being used for training
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dmlc/MXNet.jl#218 · 8 comments ·

  • Option to disable logging
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dmlc/MXNet.jl#216 · 1 comment ·

  • lstm mxnet charRNN
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dmlc/MXNet.jl#215 · 1 comment ·

  • CSVIter crashes claiming different row length
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 30/100

    dmlc/MXNet.jl#214 · 3 comments ·

  • char-lstm: invalid character index
    Open
    • Is something wrong?

    Difficulty 3/5 1-2 days Newbie friendliness 35/100

    dmlc/MXNet.jl#202 · 3 comments ·

  • LSTM example fails
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 30/100

    dmlc/MXNet.jl#197 · 18 comments ·

  • Custom output such as exponential function?
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dmlc/MXNet.jl#167 · 11 comments ·

  • Is creation of custom operators supported?
    May be free again Open
    • Is something wrong?

    dmlc/MXNet.jl#166 · 7 comments · 1 assignee ·

  • Support `:dist_async`
    May be free again Open
    • Is something wrong?

    dmlc/MXNet.jl#158 · 1 assignee ·

  • Call to mx.get_updater(optimizer) gives UndefRefError
    Open
    • Is something wrong?

    Difficulty 3/5 1-2 days Newbie friendliness 35/100

    dmlc/MXNet.jl#155 · 3 comments ·

  • Question: Minimal Tutorial
    May be free again Open
    • Is something wrong?

    Difficulty 3/5 1-2 days Newbie friendliness 25/100

    dmlc/MXNet.jl#154 · 5 comments ·

  • Port Executor Manager to Julia
    May be free again Open
    • Is something wrong?

    dmlc/MXNet.jl#153 · 1 comment · 1 assignee ·

  • Bucketing in MXNet.jl
    May be free again Open
    • Is something wrong?

    dmlc/MXNet.jl#129 · 3 comments · 1 reaction · 1 assignee ·

  • num_filters in UpSampling
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dmlc/MXNet.jl#108 · 6 comments ·

  • Variational Autoencoders - error function
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dmlc/MXNet.jl#103 · 1 comment ·

  • Representing the network as a graph.
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dmlc/MXNet.jl#88 · 1 comment ·

  • Julia garbage collector does not reclaim GPU memory
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dmlc/MXNet.jl#85 · 9 comments ·

  • Reuse executor for repeated prediction with different checkpoints
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 35/100

    dmlc/MXNet.jl#84 · 5 comments ·

  • Automated adaption of batch_size to available GPU memory
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 35/100

    dmlc/MXNet.jl#83 · 1 comment ·

  • Any plans to add custom loss functions?
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dmlc/MXNet.jl#77 · 3 comments · 1 reaction ·

  • interrupting model evaluation
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dmlc/MXNet.jl#62 · 3 comments ·

  • _init_default initializer
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dmlc/MXNet.jl#45 · 2 comments ·

  • Dynamic dispatching in optimizers
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dmlc/MXNet.jl#44 · 3 comments ·

  • Julia-based definition of new layer
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dmlc/MXNet.jl#39 · 13 comments ·

  • Online/temporal learning
    Open
    • Is something wrong?

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dmlc/MXNet.jl#29 · 11 comments ·

  • Distributed MXNet with ClusterManager
    Open
    • Is something wrong?
    enhancement

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dmlc/MXNet.jl#21 · 3 comments ·

  • [TODO] More optimizers
    Open
    • Is something wrong?

    Difficulty 4/5 3-5 days Newbie friendliness 30/100

    dmlc/MXNet.jl#11 · 5 comments ·

  • Segfault running MNIST example lenet-stn.jl
    Possibly taken Open
    • Is something wrong?
    upstream

    Difficulty 4/5 3-5 days Newbie friendliness 35/100

    dmlc/MXNet.jl#369 · 18 comments ·

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