Implementing ML into your Elixir/Phoenix app

[patrickdm]

Hello and welcome, there are a few posts in the forum that you could find interesting:

Pelemay (formerly Hastega) - Challenge for GPGPU on Elixir!

Do you want to learn and use machine learning in Elixir / Phoenix / Nerves apps? Of course, you can, but the machine learning is written in Python and invoked from Elixir via ErlPort… Of course, you can implement some machine learning algorithms in Elixir. However, they have no computational power enough to execute real applications. We wish Elixir could have more computational power! This may change by Hastega! Hastega will make a series of code fragments of pipelined Enum.map to be trans…

Deep Learning with Elixir

I am creating a framework for Deep Learning. The network is described by macros as follows. defnetwork init_network2(_x) do _x |> f(5,5) |> flatten |> w(576,100) |> b(100) |> sigmoid |> w(100,10) |> b(10) |> sigmoid end Process backpropagation in parallel. In the future, we will introduce Hastega as a GPU-based engine. GitHub https://github.com/sasagawa888/DeepLearning

Tensorflex: Tensorflow bindings for Elixir

Hello all, I have been working on my proposed project called Tensorflex as part of Google Summer of Code 2018.. Tensorflex can be used for making predictions from input data on pre-trained Tensorflow models. Training as of now is only supported in the Python API (also C++ at a low-level) but Tensorflex fully supports Inference and can be used for making predictions. Moreover, Tensorflex is being worked on and improved everyday so if there are any particular features anyone has in mind, please f…

ElixirConf 2019: Annex: Introducing an Easy-to-Use Composable Deep Learning Framework in Elixir - Jason Goldberger

by @elbow-jason Deep learning has recently exploded as the go-to solution for some very computationally complex problems such as image recognition, text classification, and generalized task learning in robotics. Annex aims to bring practical, extensible, productive, and performant deep learning to Elixir. In the Annex framework, deep neural networks are composed as sequences of Annex. Layer behavior implementing modules/structs that simply transform data; underlying details (pa…

A topology and parameter evolving universal learning network

https://github.com/Rober-t/apxr_run Based on Handbook of Neuroevolution Through Erlang by Gene Sher. Don’t plan on doing too much more with this project but thought I would share it with the community in case others find it useful. Hopefully, it should be easier to work with than the original. Preliminary work was done to integrate with Elixir as well. Cheers

Hth