toranb

import cityhash

class Cell:
    """A cell in the Invertible Bloom Filter."""
    def __init__(self, index, ibf):
        self.index = index
        self.item_sum = 0  # Now just a single integer instead of array
        self.hash_sum = 0  # Store hash sum separately for verification
        self.count = 0
        self.ibf = ibf

toranb

  def llama() do
    llama = {:hf, "meta-llama/Meta-Llama-3-8B-Instruct", auth_token: "abc123"}
    {:ok, model_info} = Bumblebee.load_model(llama, type: :bf16, backend: {EXLA.Backend, client: :cuda})
    {:ok, tokenizer} = Bumblebee.load_tokenizer(llama)
    {:ok, generation_config} = Bumblebee.load_generation_config(llama)

    tokenizer =
      tokenizer
      |> Map.put(:special_tokens, %{
        pad: "<|eot_id|>",

toranb

defmodule Example.Encoder do
  @moduledoc false

  alias Bumblebee.Shared

  def cross_encoder(model_info, tokenizer, opts \\ []) do
    %{model: model, params: params, spec: _spec} = model_info

    opts =
      Keyword.validate!(opts, [

toranb

Mix.install([
  {:axon, "~> 0.7"},
  {:bumblebee, "~> 0.6"},
  {:exla, "~> 0.9"},
  {:nx, "~> 0.9"},
  {:mp3_duration, "~> 0.1.0"},
  {:plug_cowboy, "~> 2.6"},
  {:jason, "~> 1.4"},
  {:phoenix, "~> 1.7.14"},
  {:phoenix_html, "~> 4.1"},

toranb

Nx-Powered Decision Trees

Mix.install(
  [
    {:exgboost, "~> 0.3.1", override: true},
    {:nx, "~> 0.6"},
    {:exla, "~> 0.5"},

toranb

import Ember from 'ember';
import ajax from 'example/utilities/ajax';

var UsersRoute = Ember.Route.extend({
    redux: Ember.inject.service(),
    model() {
        var redux = this.get('redux');
        return ajax('/api/users', 'GET').then(response => redux.dispatch({type: 'DESERIALIZE_USERS', response: response}));
    }
});

toranb

defmodule Mlearning do
  @moduledoc false

  def mods(x) do
    [rem(x, 3), rem(x, 5)]
  end

  def fizzbuzz(n) do
    cond do
      rem(n, 15) == 0 -> [0, 0, 1, 0]

toranb

Mix.install([
  {:bumblebee, git: "https://github.com/toranb/bumblebee", branch: "main"},
  {:nx, "~> 0.6.2", override: true},
  {:exla, "~> 0.6.1"},
  {:plug_cowboy, "~> 2.6"},
  {:jason, "~> 1.4"},
  {:phoenix, "~> 1.7"},
  {:phoenix_live_view, "~> 0.20.0"}
])

toranb

Mix.install([
  {:bumblebee, git: "https://github.com/toranb/bumblebee", branch: "main"},
  {:nx, "~> 0.7", override: true},
  {:exla, ">= 0.0.0"},
  {:plug_cowboy, "~> 2.6"},
  {:jason, "~> 1.4"},
  {:bandit, "~> 1.2"},
  {:phoenix, "~> 1.7"},
  {:phoenix_live_view, "~> 0.20.0"}
])

toranb

defmodule Mlearning do
  @moduledoc false

  def mods(x) do
    [rem(x, 3), rem(x, 5)]
  end

  def fizzbuzz(n) do
    cond do
      rem(n, 15) == 0 -> [0, 0, 1, 0]