mxnet
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apache
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
## Description Properties aren't rendering properly: https://mxnet.incubator.apache.org/api/python/gluon/gluon.html?highlight=trainer#mxnet.gluon.Trainer
URL - https://mxnet.incubator.apache.org/api/python/contrib/text.html Broken Links ─ https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md (HTTP_404) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ URL should be: https://github.com/facebookresearch/fastText/blob/master/docs/pretrained-vectors.md
URL - https://mxnet.incubator.apache.org/api/python/io/io.html Broken Links ─ https://mxnet.incubator.apache.org/api/python/io/mxnet.symbol.Symbol.name (HTTP_404) ─ https://mxnet.incubator.apache.org/api/python/io/mxnet.ndarray.NDArray.shape (HTTP_404) ─ https://mxnet.incubator.apache.org/api/python/io/mxnet.symbol.Symbol.name (HTTP_404) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ URLs should be: -https://mxnet.incubator.apache.org/api/python/symbol/symbol.html?highlight=symbol.symbol.name#mxnet.symbol.Symbol.name -https://mxnet.incubator.apache.org/api/python/ndarray/ndarray.html?highlight=ndarray.shape#mxnet.ndarray.NDArray.shape -https://mxnet.incubator.apache.org/api/python/symbol/symbol.html?highlight=symbol.symbol.name#mxnet.symbol.Symbol.name
## Description Some tech debt from the beta site, or maybe some docstring issue... but mxnet.io doesn't look right. https://mxnet.apache.org/api/python/docs/api/mxnet/io/index.html Mentioned here: https://github.com/apache/incubator-mxnet/issues/13804#issuecomment-452498757 Creating a specific issue to track this.
## Description ... points to non-existent directory ../image-classification/common.
## Description Failed to convert pretrained mode cifar_resnet110_v1 from mxnet format to onnx; ## Environment info (Required) using the mxnet zoo pre trained module cifar_resnet110_v1 mxnet version 1.5.0 the convert...
## Description I was not able to get images to plot in **Train the neural network Python** tutorial found [here](http://mxnet.incubator.apache.org/api/python/docs/tutorials/getting-started/crash-course/4-train.html) as the tutorial is written. Some solutions are proposed below....
As I was not able to run the gluoncv with mxnet on my M1 mac, so I tried to use the docker file as python interpreter. mxnet/python:1.9.1_aarch64_cpu_py3 which is running...
I have an observation and I'm hoping someone can advise. I have a scenario where I maintain a large table of vectors, so a basic (n,m) array of n vectors...
## Description When using official mxnet docker image on cloud server and without docker on a local server, the inference result is different. The input is exactly the same. ##...
