Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Please note that this is a really a TOY nn project, actually a direct translation of gigasquid's nn hello-world. It is ridiculous to compare it with a library that delegates nn work to cuDNN. And it is a really old version of affe, that ddosic has improved in the meantime, but have not yet

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Small addition to this post: There is a tiny library (toy project) of ddosic, who build a neural network with neanderthal. It might be interesting as a benchmark of what speed neanderthal can reach (although it might not currently be a good reflection of neanderthal), versus larger packages

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

This is amazing!! Thanks so much for releasing it. Very excited to dig in. On Wed, Oct 12, 2016 at 7:44 PM, wrote: > Hi, > We've made cortex public: > > https://github.com/thinktopic/cortex > > Fork away, and we hope that this contributes to a growing ML

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Hi, We've made cortex public: https://github.com/thinktopic/cortex Fork away, and we hope that this contributes to a growing ML community in Clojure. Thoughts, ideas, feedback are welcome! Cheers, Jeff On Saturday, October 8, 2016 at 6:00:21 PM UTC-6, je...@thinktopic.com

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Hey, I'm glad this came up. We were initially thinking we'd wait until the API and design had stabilized before releasing Cortex, but there is enough of value now that I think Kovas is right. We should release it. Cortex has been a collaboration between ThinkTopic and Mike Anderson, and

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

> > > If people build on the 'wrong' api, thats a good problem to have. The > field is so in flux anyway. The problem can also be mitigated through > minimalism in what is released in the beginning. > > This. -- You received this message because you are subscribed to the Google Groups

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Hi Mike, Thanks for the update. > Opening the source is not entirely my decision, this is a collaboration > with the Thinktopic folks (Jeff Rose et al.). I'm personally in favour of > being pretty open about this stuff but I do think that it would be a > mistake if people build too much

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Hi Kovas, > One question: > > Is it possible to feed Neanderthal's matrix representation (the underlying > bytes) into one of these other libraries, to obtain > computations Neanderthal doesn't support? > There are two parts to that question, I think: 1) How can you make Neanderthal work

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

For those interested: here's some work on using deeplearning4j in clojure (no abstractions added, simply a port of the nd4j and deeplearning4j API's to 'clojuresque' functions and multimethods.) https://github.com/engagor/dl4clj If anybody wants to contribute they're welcome of course! Op

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

I think deeplearning4J is a contender for deeplearning in clojure. I have not used it .. but I repeatedly see the sponsored link on clojure-reddit. Since nobody mentioned it .. I thought of mentioning it On Fri, Oct 7, 2016 at 7:40 AM, kovas boguta wrote: > On Thu, Oct

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

On Thu, Oct 6, 2016 at 9:26 PM, Mikera wrote: > > I'm hoping to work with Dragan to get core.matrix integration working with > Neanderthal, now that Windows support is finally arriving. This would get > you a few big advantages: > Yes, I can see how my problem

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

On Thu, Oct 6, 2016 at 9:20 PM, Mikera wrote: > Hi Dragan, > > We have things working quite well (including stuff like cuDNN integration > for convolution networks on the GPU). We also have all of the standard > stuff (many different layer types, dropout, noise

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

On Friday, 7 October 2016 08:25:31 UTC+8, kovasb wrote: > > On Thu, Oct 6, 2016 at 4:46 PM, Dragan Djuric > wrote: > > >> s more harm than good. I prefer to give users one Ford model T, than let >> them choose between 20 different horse carriages. And, if they can even >>

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Hi Dragan, We have things working quite well (including stuff like cuDNN integration for convolution networks on the GPU). We also have all of the standard stuff (many different layer types, dropout, noise function, regularisation etc.). However I think it still needs a bunch of work before we

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

On Thu, Oct 6, 2016 at 4:46 PM, Dragan Djuric wrote: > s more harm than good. I prefer to give users one Ford model T, than let > them choose between 20 different horse carriages. And, if they can even > choose the color, provided that their choice is black :) > Thanks the

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Just a small addition: I looked at BidiMat's code and even at the JNI/C level they are doing some critical things that work on small scale but byte unexpectedly when JVM needs to rearrange memory and also may trigger copying. On Thursday, October 6, 2016 at 10:46:04 PM UTC+2, Dragan Djuric

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Hi Kovas, > By the way, I'd love to see matrix/tensor benchmarks of Neanderthal and > Vectorz vs ND4J, MXNet's NDArray, and BidMat.. :) > I don't have exact numbers, but will try to give you a few pointers to help you if you decide to investigate this further: 0. Neanderthal's scope is

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

+1 to Dragan's inquiry. FWIW, was reviewing the state of affairs the other day: - MXNet currently has the best JVM interop story, among DL frameworks that have competitive perf. - DL4J has improved a lot recently but still looks like it has a ways to go in terms of perf. Right now I'm more

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Hey Mike, A friend asked me if I know of any good (usable) deep learning libraries for Clojure. I remembered you had some earlier neural networks library that was at least OK for experimenting, but seems abandoned for your current work in a similar domain. A bit of digging lead me to this

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

On Tue, May 31, 2016 at 9:36 AM, atucker wrote: > Given that the TensorFlow website invites people to build interfaces from > other languages using SWIG, I guess they feel that access to the C++ > component is the major thing. So while I agree with Christian about >

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

On Tue, May 31, 2016 at 7:51 AM, Christian Weilbach < whitesp...@polyc0l0r.net> wrote: > > Almost all of the development in deep learning is done in Python, so > having to reproduce this work on a different runtime (and language) > seems non-Clojure-like for me (compared to being hosted on the

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

On Tue, May 31, 2016 at 1:17 AM, Mikera wrote: > I've been working with a number of collaborators on a deep learning > library for Clojure. > > Some key features: > - An abstract API for key machine learning functionality > - Ability to declare graphs / stacks of

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Given that the TensorFlow website invites people to build interfaces from other languages using SWIG, I guess they feel that access to the C++ component is the major thing. So while I agree with Christian about reinventing the wheel, it may be that to interface at that level would involve

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

> - Ability to declare graphs / stacks of operations (somewhat analogous to > tensorflow) > I'd be interested to know more as I've been working with factor graphs in Clojure with core.matrix, and it sounds related -- have you done anything like message-passing on graphs ? -- You received

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 On 31.05.2016 07:17, Mikera wrote: > I've been working with a number of collaborators on a deep > learning library for Clojure. > > Some key features: - An abstract API for key machine learning > functionality - Ability to declare graphs / stacks of

Re: Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

I've been working with a number of collaborators on a deep learning library for Clojure. Some key features: - An abstract API for key machine learning functionality - Ability to declare graphs / stacks of operations (somewhat analogous to tensorflow) - Support for multiple underlying

Clojure with Tensorflow, Torch etc (call for participation, brainstorming etc)

Anyone seriously working on deep learning with Clojure? I'm working with Torch at the day job, and have done work integrating Tensorflow into Clojure, so I'm fairly familiar with the challenges of what needs to be done. A bit too much to bite off on my own in my spare time. So is anyone out