braindotai removed a comment on issue #9686: [Discussion] MXNet 2.0 Roadmap (was: APIs that might be a good idea to break in 2.0) URL: https://github.com/apache/incubator-mxnet/issues/9686#issuecomment-511801482 I have some suggestions down here:- - MXNet only has 4 prebuild datasets, I think we should have more... Here are some important missing datasets- [KMNIST](https://github.com/rois-codh/kmnist), [EMNIST](https://www.westernsydney.edu.au/bens/home/reproducible_research/emnist), [LSUN](https://www.yf.io/p/lsun), [STL10](https://cs.stanford.edu/~acoates/stl10/), [SVHN](http://ufldl.stanford.edu/housenumbers/), [PhotoTour](http://phototour.cs.washington.edu/patches/default.htm), [SBU](http://www.cs.virginia.edu/~vicente/sbucaptions/), [Flickr8k](http://nlp.cs.illinois.edu/HockenmaierGroup/8k-pictures.html), [Flickr30k](http://web.engr.illinois.edu/~bplumme2/Flickr30kEntities/), [Cityscapes](http://www.cityscapes-dataset.com/), [SBD](http://home.bharathh.info/pubs/codes/SBD/download.html) and FakeData(A fake data generator that generates fake images, useful for GANS) - As we got the [Estimator](https://github.com/apache/incubator-mxnet/pull/15009/commits) for gluon, (which will be supposedly released with MXNet 1.5), we can have many predefined estimators(very similar to Scikit Learn, with awesome gpu support), for example:- ```python from mxnet.gluon import estimator model = estimator.linearregression model = estimator.logisticregression model = estimator.ridgeregression model = estimator.lassoregression model = estimator.knearestneighbors model = estimator.kmeansclusttering model = estimator.svm ....etc ``` These classical ML algorithms work better than DL for some specific tasks and many users want such ML algorithms with gpu support, so that'd be quite awesome. - As I said in my previous comment, we need to have a good and updated website design, for instance in the bottom of [homepage](https://mxnet.apache.org/) even the "copyright(2017 - 2018)" statement is not updated, which sounds like MXNet is no longer sponsored by the Apache Incubator(Is this True?). - Also, you can't access this [useful link](http://mxnet.incubator.apache.org/versions/master/tutorials/python/) at all, because the link is unnecessarily and massively hidden inside the website. - We should update the benchmarks available [here](https://mxnet.incubator.apache.org/versions/master/faq/perf.html) - We should put these [FAQ tutorials](https://mxnet.incubator.apache.org/versions/master/faq/index.html) available directly from our default homepage, because these are really good tutorials(but hidden under docs) for a beginner in MXNet. - We should have more information about MXNet displayed right on the homepage(instead of provided links), for example, its key features, ecosystem, community, a link to [holy book of MXNet](http://d2l.ai/), [GluonCV](https://gluon-cv.mxnet.io/), [GluonNLP](https://gluon-nlp.mxnet.io/)... etc. - -
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