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 >>>>> >>>>
