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Support for other Deep Learning Libraries #74
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Correct! Though we do include TensorFlow to start, we're not TensorFlow
exclusive - at all! We only mention "flow" because it's such a common term
in ML. We'd ABSOLUTELY love some help including other frameworks!
…On Tue, Jan 2, 2018 at 1:26 PM michael mccune ***@***.***> wrote:
@NathanNZ <https://github.com/nathannz> i think issue #33
<#33> covered some of this in
the comments. imo, it will be great to see Kubeflow grow beyond the
perception that it is just a TensorFlow related project.
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I came across a CRD for mxnet in deepinsight/mxnet-operator. We'd be very receptive to including this in Kubeflow if someone is interested in taking this up. Forking the ksonnet prototype for TfJob to create a prototype for mxnet should be fairly straightforward. is anyone interested in taking this on? |
@jlewi Hi! It is great. I'm so interested in a CRD for MxNet. |
pytorch work has started caffe2 has started |
* Refine API Signed-off-by: YujiOshima <[email protected]> * add cli Signed-off-by: YujiOshima <[email protected]> * add gird demo Signed-off-by: YujiOshima <[email protected]> * fix Signed-off-by: YujiOshima <[email protected]> * add GKEDemo Signed-off-by: YujiOshima <[email protected]> * fix test Signed-off-by: YujiOshima <[email protected]> * add mnist-models.yaml Signed-off-by: YujiOshima <[email protected]> * fix docs Signed-off-by: YujiOshima <[email protected]> * improve GKEdemo docs Signed-off-by: YujiOshima <[email protected]> * add more docs Signed-off-by: YujiOshima <[email protected]> * fix test Signed-off-by: YujiOshima <[email protected]> * enable get worker from trialid ana add getParameterList from studyid Signed-off-by: YujiOshima <[email protected]> * fix doc Signed-off-by: YujiOshima <[email protected]> * fix test Signed-off-by: YujiOshima <[email protected]> * fix Signed-off-by: YujiOshima <[email protected]>
* add kam to ci-team.members.txt * add alphabetically
First of all it's awesome seeing an initiative to help bring a bit of DevOps to ML, something I feel is well overdue - however I have a question just to clarify my own understanding of what KubeFlow actually is.
Regarding this statement in the readme it seems to imply that other OSS solutions will be supported however I'm not sure to what extent, especially regarding TensorFlow. My uncertainty rises from the fact that this is a Google run endeavour and the project name itself (implying the mash up between K8 and TF). As such would it be correct in thinking that other data flow programming libraries are out of this projects scope? (Caffe, CNTK etc)?
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