Gorgonia

Gorgonia is a machine learning library for #golang
#ComputingMachineryAndIntelligence

[GopherConAU @GopherConAUNZ]

Gonum is the only row major implementation of BLAS/LAPACK. @GorgoniaML benefits a lot from this #gopherconau

[Dimitrii @GreatAkcium]

I've just updated toy-library for GAN: https://t.co/t3TbkCkWbT New layers types are handled now. Don't forget to check smiley face generator also :-)
Yeah, It's built on top of @GorgoniaML 's machine learning library
#Gorgonia #MachineLearning #GAN #NeuralNetworks #DeepLearning

[Olivier Wulveryck @owulveryck]

@GorgoniaML has 4k stars on GitHub!

[Dimitrii @GreatAkcium]

Just prepared little toy-code for showing how to build generative adversarial networks in Golang via Gorgonia library - https://t.co/t3TbkCkWbT
Thanks @GorgoniaML for theirs framework.

#Gorgonia #MachineLearning #GAN #NeuralNetworks #DeepLearning

[Jim W @poopooElGorila]

Thanks for the awesome shirt ⁦@chewxy⁩ . ⁦everyone should check out @GorgoniaML⁩ it is a great project

[bsky.app/profile/chewxy.com @chewxy]

@kerem_gocen @GorgoniaML 1. History. I wrote Gorgonia long before things like TF or PyTorch was available.
2. No docker, no funny overheads. Compile a single binary that runs anywhere. Builds are mostly reproducible.
3. Stricter semantics (because I wrote them that way) means easier debugging

[Olivier Wulveryck @owulveryck]

@kerem_gocen @GorgoniaML Being able to run the code anywhere. Some sort of write once, run many.
On top of that, understanding how things work and being able to add features easily (Go is easier than c++).
Last but not least: the community is small but veeeery friendly and helpful. Gorgonia works.

[Olivier Duquesne aka DaffyDuke @_daffyduke_]

@VDNSeclin Hum, s/dans la région/dans l'@univ_lille... Saviez vous qu'il existait des entreprises dans cette même région dont c'est aussi le métier ? Il y a même des développeurs passionnés qui produisent du code dédié ! Exemple @GorgoniaML

[Gorgonia @GorgoniaML]

@GarethGiraffe @AzorFrank @triathletewms @mooreslawisdead @sherkelman @AMD @Radeon What is ROCm?

[Olivier Wulveryck @owulveryck]

@pommeDouze @stack_labs J’ai une présentation qui parle de la concurrence en Go appliquée aux calculs de tenseurs dans @GorgoniaML. Ça vous intéresse?

https://t.co/DKLtdvVDsM

[Olivier Wulveryck @owulveryck]

@GorgoniaML’s experimental GoMachine is using context internally.
See https://t.co/EW5vK55B27
DM are open if you want to talk about it (got a present almost ready to present it)

[Gorgonia @GorgoniaML]

The Go machine will be the main recommended VM to use for Gorgonia graphs in v0.10

[Olivier Wulveryck @owulveryck]

Looking forward to contribute to @GorgoniaML v0.10.0. Meanwhile, you can test the GoMachine and/or fix the documentation :)
https://t.co/DKLtdvVDsM
#golang

[Olivier Wulveryck @owulveryck]

Running #tinyyolov2 with @GorgoniaML GoMachine on a 4 core CPU on Darwin. The GoRoutine scheduler is using 10% of the time; I guess we can improve this. But there won't be any miracle, job needs to be done anyway.

[Olivier Wulveryck @owulveryck]

I am very happy by the new code of @GorgoniaML’s Gomachine.

[Gorgonia @GorgoniaML]

@nibbleshift @BobMcGwier_N4HY @uaptn @TensorFlow @fchollet @PyTorch Let me (@chewxy ) know if you need help

[Gorgonia @GorgoniaML]

@GreatAkcium Wow slow mail. I wonder if everyone got theirs already?

[Olivier Wulveryck @owulveryck]

Some work to come for #onnx-go

[Golang News & Libs & Jobs - human 🗣️ , no 🤖 @golangch]

A library that helps facilitate machine learning in Go.
#golang

https://t.co/WTpHJ6PO26

[Olivier Wulveryck @owulveryck]

In OSS, contributions are the oil and documentation is the soil.
@GorgoniaML has a new contributing guide for the documentation.
https://t.co/yIOuOKrGT3

[Olivier Wulveryck @owulveryck]

First round of this talk about #DeepLearning with Gophers all the way down, and the demo has worked has expected. Thanks demo god and thanks to all people from
#golang @onnxai @KnativeProject and @GorgoniaML who makes all of this possible. ❤️