I spent a good amount of time looking for an ML library written in Go, with a usable API and with active maintenance and the only framework out there is https://github.com/gorgonia/gorgonia which seems tailored to academics need. I wanted a library to embed I could use in a stealth startup I am working on and frankly nothing came close to the quality I was looking for. In particular I wanted something with: 1. Ability to plug in different activation functions. 2. Takes advantage of Goroutines 3. Ability to import weights from other frameworks(TBD in Therfoo) 4. A high level API like Keras 5. A testable architecture Have you used any of the libraries you sent? I would like to hear your experience working with any of them. Perhaps I missed something... I am dog fooding Therfoo in a personal production product at the moment and love the ability of including ML capabilities with under 20 lines of code. Thanks for your feedback. On Tue, Feb 19, 2019 at 22:16 Martin Akolo Chiteri via skunkworks < skunkworks@lists.my.co.ke> wrote:
Hi David,
Any specific reason you are implementing the Deep Learning module from Scratch? There are a couple in existence already, probably well executed and tested. Perhaps you could join those projects and work on bug fixes and enhancements instead ....
https://github.com/josephmisiti/awesome-machine-learning#go http://gopherdata.io/post/deeplearning_in_go_part_1/ https://medium.com/sourcedtech/machine-learning-on-go-code-829e85e2d2c6
Good luck in any case.
Martin.
On Mon, Feb 18, 2019 at 12:40 PM David Njuguna via skunkworks < skunkworks@lists.my.co.ke> wrote:
I am currently writing a deep learning Golang module/library - https://github.com/therfoo/therfoo and wondering if anyone here would be open to collaborating on the same?
Kind regards, David Ndungu
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