Hi Doug,

If you think they're a good starting point, I'm happy to contribute. I
would rather reinvent fewer things.

My impression from off-list conversation is that if the library is on
GitHub, and licensed appropriately (Apache 2, MIT, BSD, LGPL*, GPL*, MPL,
EPL, ISC, CC-BY, CC-BY-SA, OFL, MS-PL, Boost Software License, or Artistic
licenses), then Google engineers would have permission (from a
legal/license perspective) to ultimately contribute as well. If they were
so moved.

Up to you.

Cheers,
M


On Mon, Feb 4, 2019 at 12:54 PM Doug Williams <m.douglas.willi...@gmail.com>
wrote:

> I have a start on them already, but they need work. I don't need them on
> my project until the summer and they have been a low priority. I would be
> happy to share them with anyone that wants to go at a faster pace.
>
> On Mon, Feb 4, 2019, 9:49 AM Greg Trzeciak <gtrzec...@gmail.com wrote:
>
>> Wasn't it a rhetorical question? :)
>>
>> Although I don't have use for TensorFlow at the moment - I would love to
>> have the FFI bindings ready for when I will finally need it.
>> The AI story in Racket at the moment is not as good is it could be:
>> https://github.com/racket/racket/wiki/AI
>>
>>
>> On Monday, February 4, 2019 at 5:07:58 PM UTC+1, Matt Jadud wrote:
>>>
>>> Hi all,
>>>
>>> https://www.tensorflow.org/install/lang_c
>>>
>>> Would there be interest/value in having FFI bindings for TensorFlow? If
>>> I poke it with a stick, are there others who would be willing to contribute
>>> to the development of a package that provided those bindings?
>>>
>>> I'm getting to the point with a project where I'm going to have to bail
>>> out of Racket in order to do some machine learn-y stats work, and I'd
>>> rather not have to switch languages just to do the analysis.
>>>
>>> Cheers,
>>> M
>>>
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