SteffenDE

Ortex MPNet Sentence Transformer

Mix.install([
  {:ortex, github: "elixir-nx/ortex", ref: "9e384971d1904ba91e5bfa49594d742a1d06cb4c"},
  {:tokenizers,
   github: "elixir-nx/tokenizers", override: true, ref: "20295cfdf9b6342d723b405481791ec87afa203c"},
  {:exla,
   github: "elixir-nx/nx",
   sparse: "exla",

lorenzosinisi

Transformer in Elixir - highly experiemental WIP

This code is in dev mode and not yet finished, it probably won't work but I am using it to learn how to create a transformer from scratch

This gist is shared to help with this tweet https://twitter.com/LorenzoSinisi/status/1652756858459881473

MiniGPT - Elixir

Mix.install(
  [

dkuku

Neural network from scratch in ... Elixir

Pure Elixir initial version test

inputs = [1, 2, 3, 2.5]
weights = [0.2, 0.8, -0.5, 1.0]
bias = 2.0

seanmor5

defmodule Day3 do
  # Since my last answer wasn't purely Nx, I'm going
  # to try to stick to Nx as much as is possible, but
  # we don't have string manipulation stuff so that will
  # have to be done in Elixir
  import Nx.Defn

  def part1 do
    File.read!("aoc/3.txt")
    |> parse_input()

devonestes

# Step 1

def create_subscription(email, plan_id, payment_method_id) do
  with %User{customer_id: nil, name: name} = user <-
         Repo.get_by(User, email: email),
       {:ok, %Stripe.Customer{id: customer_id}} <-
         Stripe.Customer.create(%{
           name: name,
           email: email,
           payment_method: payment_method_id,

rugyoga

Using Elixir releases and multi-stage Docker files to simplify Phoenix deployment

This repo is my experiment in deploying a basic Phoenix app using the release feature from elixir 1.9 (https://elixir-lang.org/blog/2019/06/24/elixir-v1-9-0-released/) and docker, via a multi-stage Dockerfile (https://docs.docker.com/develop/develop-images/multistage-build/) leveraging bitwalker's docker images for Elixir and Phoenix.

Step 1: Install Elixir 1.9.1 (and Erlang)

The simplest way to manage Elixir versions is to use asdf.

wosephjeber

Renaming table in Ecto migration

I recently wanted to rename a model and its postgres table in a Phoenix app. Renaming the table was simple and documented, but the table also had constraints, sequences, and indexes that needed to be updated in order for the Ecto model to be able to rely on default naming conventions. I couldn't find any examples of what this would look like but was eventually able to figure it out. For anyone else in the same situation, hopefully this example helps.

In the example below, I'm renaming the Permission model to Membership. This model belongs to a User and an Account, so it has foreign key constraints that need to be renamed.

defmodule MyApp.Repo.Migrations.RenamePermissionsToMemberships do
  use Ecto.Migration

nerdcave

// first run:
// yarn add glob-all purgecss-webpack-plugin --dev

/*
  config/webpack/environment.js
  PurgeCSS configuration for Rails 5 + Webpacker + Tailwind CSS + Vue.js

  Optionally, put this in production.js if you only want this to apply to production.
  For example, your app is large and you want to optimize dev compilation speed.
*/

jpbecotte

Introduction

I have been struggling to start a new project with Phoenix 1.3 and the new vue-cli 3 for Vue.js. There are tons of example already but none of them suited my needs, because:

• I want to use the new Vue-cli to select the features that I want,
• I do NOT want to setup Webpack (I know, what a shame!). The new Vue-cli includes the new vue-cli-service, which uses an instance of webpack-dev-server, so you don't have to import it manually in your project.
• I do not want to use Brunch.

Create your Phoenix App

Assuming that you have Elixir and Phoenix 1.3 are both installed, let's build our new App.

schweigert

I am passionate about Ruby, but its execution time compared to other languages is extremely high, especially when we want to use more complex algorithms. In general, data structures in interpreted languages become incredibly slow compared to compiled languages. Some algorithms such as ´n-body´ and ´fannkuch-redux´ can be up to 30 times slower in Ruby than Go. This is one of the reasons I was interested in embedding Go code in a Ruby environment.

For those who do not know how shared libraries operate, they work in a similar way as DLLs in Windows. However, they have a native code with a direct interface to the C compiler.

Note Windows uses the DLL system, and in this case, this does not necessarily have to be in native code.

One example is DLLs written in C#, which runs on a virtual machine. Because I do not use windows, I ended up not testing if it is poss