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Michal Harakal

05/22/2020, 9:00 AM
Hi @mattmoore. I got really impressed about the project, having nice web page is a good start. I was surprised with storing models in the repo itself, even with using Git LFS. I am not sure about storing big binaries in git. As a solution, I have already implemented gradle downloader “simple one” plugin, in order to download them with gradle tasts. Question is, does it make sense to you to create in MR and contribute a little bit to the project from my side? https://github.com/michalharakal/flagsam/blob/master/buildSrc/src/main/kotlin/de/harakal/flaggie/gradle/DownloadModelTask.kt
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mattmoore

05/22/2020, 5:41 PM
Hi @Michal Harakal! Yeah right now I have little more than a site and a very simple start at tinkering with the TF API. Long term I won't put models (or other binaries) in the project. I definitely want to have a built-in downloader for models and datasets for both training and running models. I'd be very happy to have others contribute. You're more than welcome to open a pull request to github. I haven't done much with the project recently, but am planning to get back to some of it this weekend. I am working next on a very simple POC to demonstrate TF training in Kotlin, available as an API. Once I have some decent models training through Kotlin, I can start looking at organizing the code a little better. 🙂
Also, I created #tensorflow - feel free to join. Hopefully once more of the proof of concept is fleshed out more folks might be interested in joining.
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Michal Harakal

05/22/2020, 5:50 PM
I’ve just started my DS learning, so I will only contribute to ML part a few moths later, but having some experience with multiplatform and Android I can hopefully the first MR soon …
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mattmoore

05/22/2020, 6:10 PM
No worries! Having a download util would be very helpful and much appreciated!
@mattmoore could we have a short call about your project? I would like to contribute more but I am missing some peaces of informations ...
@mattmoore I’am still scratching my head around the level of abstraction. I see a huge advantage of dsl and making TF kotlin first. But in the moment you are using jvm library. Do you have some plans to go multiplatform ?
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mattmoore

06/09/2020, 2:14 PM
@Michal Harakal Hi! Sorry for the late response. Yes, we could do a call. The goal is to go multiplatform, but there are a few ways to approach it and some complexities with the TF API that I've been thinking through. I'm booked up through Thursday of next week but I could sync up some time after that.
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Michal Harakal

06/09/2020, 2:19 PM
NP, let me know, you can ping me then with DM here on slack
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