This is amazing!! Thanks so much for releasing it. Very excited to dig in.
On Wed, Oct 12, 2016 at 7:44 PM, <j...@thinktopic.com> wrote:
> We've made cortex public:
> Fork away, and we hope that this contributes to a growing ML community in
> Clojure. Thoughts, ideas, feedback are welcome!
> On Saturday, October 8, 2016 at 6:00:21 PM UTC-6, je...@thinktopic.com
>> 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
>> it's design is somewhat similar to Torch. (Neural network layers that
>> implement protocols for forward computation and backward propagation of
>> gradients along with a set of optimizers.) Although we are already using
>> Cortex models in production, it's definitely still a library in flux. We
>> had arrived at a pretty good set of base abstractions in pure Clojure using
>> core.matrix, but then when we decided to add gpu support we realized we had
>> to refactor things a bit. The CuDNN and CuBLAS libraries from Nvidia
>> provide a lot of useful functionality, but they also come with their own
>> abstractions for matrix computation, neural network layers, optimizers,
>> etc. To take advantage of the GPU effectively we also need to be able to
>> sequence and interleave tasks using streams, which requires a variety of
>> design changes unless we want to maintain separate implementations of
>> almost everything for both the CPU and the GPU. You can build and run
>> networks now, but we are still exploring how this should all come together.
>> So, as long as you keep in mind that things will change, it would be
>> great to have you all join the conversation and help experiment with
>> abstractions and apis.
>> Give us a couple days to do some house keeping, and then we'll open
>> source it.
>> On Thursday, October 6, 2016 at 8:08:41 PM UTC-6, kovasb wrote:
>>> On Thu, Oct 6, 2016 at 9:20 PM, Mikera <mike.r.an...@gmail.com> 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 function,
>>>> regularisation etc.). However I think it still needs a bunch of work before
>>>> we stabilise on the core API.
>>>> Things I'm paricularly keen to have nailed down in particular before we
>>>> go public:
>>> FWIW it sounds like you've achieved a huge amount already.
>>> There are many people in the Clojure community who can come up with a
>>> DAG abstraction. There are very, very few who have the skill and time to
>>> assess and integrate the various native libs necessary to achieve the
>>> fundamental operations in a clojure-friendly way.
>>> 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.
>>> In any case, looking forward to hopefully seeing this stuff one day.
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