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 >>>> >>>
