Thanks Stefan. Just starting on Julia. Hope to start contributing soon. ~ Ravish
On Mon, Nov 16, 2015 at 11:16 PM, Stefan Karpinski <ste...@karpinski.org> wrote: > JuliaML is a collection of repos, not people. If you create a package that > ends up in JuliaML or make significant contributions to one of them, then > the owner of some JuliaML package may give you commit access to that > package. > > On Mon, Nov 16, 2015 at 4:24 AM, Ravish Mishra <ravish.mis...@gmail.com> > wrote: > >> 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 >>>>>> >>>>> >
