kaspergrubbe

#!/usr/bin/env ruby
require 'open3'
require 'fileutils'

def run_command(command)
  puts("+: " + command)

  Open3.popen2e(command) do |stdin, stdout_stderr, wait_thread|
    Thread.new do
      stdout_stderr.each {|l| puts l }

vladkras

	location = /gotoapp {
		if ($http_user_agent ~* "iphone|ipod|ipad|appletv") {
 			return 301 https://www.apple.com/lae/ios/app-store/;
		}
		if ($http_user_agent ~* "android") {
			return 301 https://play.google.com/store;
		}

		if ($http_user_agent ~* "Windows") {
			return 301 https://www.microsoft.com/store/apps?rtc=1;

khuangaf

class NeuMF(torch.nn.Module):
    def __init__(self, config):
        super(NeuMF, self).__init__()

        #mf part
        self.embedding_user_mf = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mf)
        self.embedding_item_mf = torch.nn.Embedding(num_embeddings=self.num_items, embedding_dim=self.latent_dim_mf)
        
        #mlp part
        self.embedding_user_mlp = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mlp)

sairamkrish

'''
Generic object to dict converter. Recursively convert.
Useful for testing and asserting objects with expectation.
'''

def todict(obj, classkey=None):
    if isinstance(obj, dict):
        data = {}
        for (k, v) in obj.items():
            data[k] = todict(v, classkey)

dancheskus

Более удобной и актуальной версией является эта статья с использованием traefik

https://gist.github.com/dancheskus/365e9bc49a73908302af19882a86ce52

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Certbot и nginx, как обратный прокси в Docker (пример с 2 react проектами)

В результате будет 2 react проекта на 1 сервере доступных по разным ссылкам

amir-saniyan

Ubuntu 22.04 for Deep Learning

In the name of God

This gist contains steps to setup Ubuntu 22.04 for deep learning.

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Install Ubuntu 22.04