Hi Viral, 

I want to be a part of JuliaML.

~ Ravish

On Wednesday, November 11, 2015 at 4:48:07 PM UTC+5:30, Viral Shah wrote:
>
> I think TensorFlow.jl is a great idea. Also their distributed computation 
> framework is also the kind that we want to have in Julia.
>
> I have created JuliaML. Send me email if you want to be part of it, and I 
> will make you an owner. Perhaps we can even move some of the JuliaStats ML 
> projects to JuliaML.
>
> -viral
>
> On Wednesday, November 11, 2015 at 11:27:21 AM UTC+5:30, Valentin Churavy 
> wrote:
>>
>> It fits in the same niche that Mocha.jl and MXNet.jl are filling right 
>> now. MXNet is a ML library that shares many of the same design ideas of 
>> TensorFlow and has great Julia support https://github.com/dmlc/MXNet.jl
>>
>>
>> On Wednesday, 11 November 2015 01:04:00 UTC+9, Randy Zwitch wrote:
>>>
>>> For me, the bigger question is how does TensorFlow fit in/fill in gaps 
>>> in currently available Julia libraries? I'm not saying that someone who is 
>>> sufficiently interested shouldn't wrap the library, but it'd be great to 
>>> identify what major gaps remain in ML for Julia and figure out if 
>>> TensorFlow is the right way to proceed. 
>>>
>>> We're certainly nowhere near the R duplication problem yet, but 
>>> certainly we're already repeating ourselves in many areas.
>>>
>>> On Monday, November 9, 2015 at 4:02:36 PM UTC-5, Phil Tomson wrote:
>>>>
>>>> Google has released it's deep learning library called TensorFlow as 
>>>> open source code:
>>>>
>>>> https://github.com/tensorflow/tensorflow
>>>>
>>>> They include Python bindings, Any ideas about how easy/difficult it 
>>>> would be to create Julia bindings?
>>>>
>>>> Phil
>>>>
>>>

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