On Fri, 2020-08-28 at 02:26 +0000, Mo Zhou wrote: > Both NLTK and spaCy suffer from a problem -- they cannot be fully > functional without pretrained models. And you know this is exactly > what the ML-Policy is discussing. Yes, I discovered this while doing the internal packaging. The default English models I looked at seemed to be quite dubious to me too, both from a legal perspective and a DFSG/ML-Policy perspective. > I think you can simply work on the existing repositories. New repos > can be created under the deep learning team if you like. I will do that, are there any guidelines for which team to use for specific packages or should I ask on the list(s) about it? One other issue I encountered is outdated embedded code copies (specifically cython-blis has a copy of blis), I'd like to solve that upstream, do have a GitHub account and would you mind if I CCed you on any GitHub issues that I file about this? > Just feel free to go ahead. But you might want to ask Andreas if he has > any unpushed commits. OK, hopefully he will see this mail :) > Debian science team has the maintainer access to Debian Deep Learning > team by default. OK, great. -- bye, pabs https://wiki.debian.org/PaulWise
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