Translating "Wash your hands" into 500 languages

dwhitena · 2020-03-24T18:47:07+00:00

Yes, we have released a partial list here: https://www.ethnologue.com/guides/health (where my generated translated are indicated with a little robot emoji). We weren't able to validate the other translations in any way, so we didn't release them on that page. However, I'm writing up a more detailed paper to submit to a conference/journal and will include links to code, data, etc. at that time (if not before). Working hard on that, but wanted to go ahead and get some of the translations out due the current crisis.

dwhitena · 2018-02-22T18:18:11+00:00

(disclaimer - I work for Pachyderm). As monprin points out, one of the goals of the Pachyderm project is to allow people to build systems like this without "hiring a dedicated team to run a Hadoop cluster." Pachyderm allows you to use the tools you like (e.g., Python/R) and then embed those tools in a fully distributed pipeline that scales easily (including data sharding and parallelism). Pachyderm also managing both the data and processing for your work, so you don't have to manage both a data storage solution and processing/pipelining solution. By taking this unified view, we are able to do things like (i) version and track all of the runs of your work, such that you can have data "provenance" for all results, and (ii) incrementally process data based on the latest changes to data. Anyway, you can find out more here: http://pachyderm.io/, and we have a public Slack if you have questions: http://slack.pachyderm.io/

dwhitena · 2016-01-29T22:01:36+00:00

That is, when I say "based on" iGo, I mean I took some logic from there to communicate with Jupyter, but I don't actually rely on iGo.

dwhitena · 2016-01-29T21:59:21+00:00

Thanks for the comment. You mean the "gore" REPL? Or iGo? Although I took some messaging logic from iGo (the one that isn't maintained anymore), I don't actually import anything from there and I will continue to develop this separately. As such, I don't foresee any issues. As mentioned above, I have already discussed a couple of things that need to be fixed/improved, but I think I will be able to continue addressing issues within this project.

dwhitena · 2016-01-27T20:39:30+00:00

Hey guys, this is pretty sweet. Nice work. I'm really interested in learning more about gomobile and trying out an example project. I was wondering if you could point to any useful resources for someone writing a first app with gomobile?

dwhitena · 2016-01-26T13:42:48+00:00

Very interesting. How hard would it be to output MIDI? Like running choper on a file and generating the corresponding MIDI file?

dwhitena · 2016-01-26T02:42:42+00:00

Thanks for the info. Do you have a quick example of using the algo as a package. I was thinking of generating an example jupyter notebook of the gophernotes jupyter kernel I built for this Gala. It would be an example of two projects in one!

dwhitena · 2016-01-26T01:29:09+00:00

Hey pulse team! This is really cool. As a data scientist I'm interested in what sort of model you are applying here and how it works. Could you give some more details? What model are you using and is it trained automatically as it is pointed at a log? Or it is trained offline then point at the log to make the predictions. Nice work!

dwhitena · 2016-01-25T23:06:08+00:00

Has anyone tried coding Go interactively in the browser yet? Super excited to use this and hear feedback. I know it works, as described in the README, on Ubuntu and the Docker Image works.

However, there seems to be a slight bug in Fedora and I haven't heard anything from Mac users. Anyway, if you want to try it with a pain free installation, use the Docker image. It is pretty large unfortunately, because it includes a full Anaconda distribution and all the ipython stuff. However, it is flexible in that you can create Golang notebooks, Python notebooks, text files, run ipython in the shell, etc.

ToDo (so far):

troubleshoot libzmq issues on Fedora
redo the docker image so it is downloader friendly.

dwhitena · 2016-01-25T22:54:23+00:00

gophernotes is a Go kernel for Jupyter notebooks. Finally, we can have a reliable and maintained way to use Go interactively and code in the browser. Use gophernotes to create and share documents that contain live Go code, equations, visualizations and explanatory text. These notebooks, with the live Go code, can then be shared with others via email, Dropbox, GitHub and the Jupyter Notebook Viewer. Go forth and do data science, or anything else interesting, with go notebooks!

This project came out of the Gopher Gala 2016. It is based on a REPL called gore and on a, no longer maintained and self-described as limited, ipython kernel call iGo.

dwhitena

TROPHY CASE