Canbey Bilgili cbilgili

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## 1_kubernetes_on_macOS.md

      
              4 files
            
          
              190 forks
            
          
              46 comments
            
          
              472 stars
            
          
                kevin-smets
                / 1_kubernetes_on_macOS.md
            
            
              Last active
              May 5, 2024 10:12
            
              
                Local Kubernetes setup on macOS with minikube on VirtualBox and local Docker registry
              
          
    Requirements

Minikube requires that VT-x/AMD-v virtualization is enabled in BIOS. To check that this is enabled on OSX / macOS run:
sysctl -a | grep machdep.cpu.features | grep VMX

If there's output, you're good!
Prerequisites


## geonames_postgres.rb
#!/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 }

## ml-ruby.md

      
              1 file
            
          
              58 forks
            
          
              11 comments
            
          
              322 stars
            
          
                gbuesing
                / ml-ruby.md
            
            
              Last active
              February 28, 2024 15:13
            
              
                Resources for Machine Learning in Ruby
              
          
    UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems


liblinear-ruby: Ruby interface to LIBLINEAR using SWIG


## rspec_rails_cheetsheet.rb
#Model

@user.should have(1).error_on(:username) # Checks whether there is an error in username
@user.errors[:username].should include("can't be blank")  # check for the error message

#Rendering
response.should render_template(:index)

#Redirecting
response.should redirect_to(movies_path)

## firebase_detect_data.js
function go() {
  var userId = prompt('Username?', 'Guest');
  checkIfUserExists(userId);
}

var USERS_LOCATION = 'https://SampleChat.firebaseIO-demo.com/users';

function userExistsCallback(userId, exists) {
  if (exists) {
    alert('user ' + userId + ' exists!');

## 1_using_queries.js
/***************************************************
 * Simple and elegant, no code complexity
 * Disadvantages: Requires warming all data into server memory (could take a long time for MBs of data or millions of records)
 * (This disadvantage should go away as we add optimizations to the core product)
 ***************************************************/

var fb = firebase.database.ref();

/**
 * @param {string} emailAddress

## fncache.py
#!/usr/bin/env python
__author__ = 'Kevin Warrick'
__email__  = 'kwarrick@uga.edu'

import cPickle
from functools import wraps

def redis_lru(capacity=5000, slice=slice(None)):
	"""
	Simple Redis-based LRU cache decorator *.

## ngrams.py
"""Print most frequent N-grams in given file.

Usage: python ngrams.py filename

Problem description: Build a tool which receives a corpus of text,
analyses it and reports the top 10 most frequent bigrams, trigrams,
four-grams (i.e. most frequently occurring two, three and four word
consecutive combinations).

NOTES

## minikube_uninstall.sh
minikube stop; minikube delete &&
docker stop $(docker ps -aq) &&
rm -rf ~/.kube ~/.minikube &&
sudo rm -rf /usr/local/bin/localkube /usr/local/bin/minikube &&
launchctl stop '*kubelet*.mount' &&
launchctl stop localkube.service &&
launchctl disable localkube.service &&
sudo rm -rf /etc/kubernetes/ &&
docker system prune -af --volumes
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	#!/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 }
	#Model

	@user.should have(1).error_on(:username) # Checks whether there is an error in username
	@user.errors[:username].should include("can't be blank") # check for the error message

	#Rendering
	response.should render_template(:index)

	#Redirecting
	response.should redirect_to(movies_path)
	function go() {
	var userId = prompt('Username?', 'Guest');
	checkIfUserExists(userId);
	}

	var USERS_LOCATION = 'https://SampleChat.firebaseIO-demo.com/users';

	function userExistsCallback(userId, exists) {
	if (exists) {
	alert('user ' + userId + ' exists!');
	/***************************************************
	* Simple and elegant, no code complexity
	* Disadvantages: Requires warming all data into server memory (could take a long time for MBs of data or millions of records)
	* (This disadvantage should go away as we add optimizations to the core product)
	***************************************************/

	var fb = firebase.database.ref();

	/**
	* @param {string} emailAddress
	#!/usr/bin/env python
	__author__ = 'Kevin Warrick'
	__email__ = 'kwarrick@uga.edu'

	import cPickle
	from functools import wraps

	def redis_lru(capacity=5000, slice=slice(None)):
	"""
	Simple Redis-based LRU cache decorator *.
	"""Print most frequent N-grams in given file.

	Usage: python ngrams.py filename

	Problem description: Build a tool which receives a corpus of text,
	analyses it and reports the top 10 most frequent bigrams, trigrams,
	four-grams (i.e. most frequently occurring two, three and four word
	consecutive combinations).

	NOTES
	minikube stop; minikube delete &&
	docker stop $(docker ps -aq) &&
	rm -rf ~/.kube ~/.minikube &&
	sudo rm -rf /usr/local/bin/localkube /usr/local/bin/minikube &&
	launchctl stop 'kubelet.mount' &&
	launchctl stop localkube.service &&
	launchctl disable localkube.service &&
	sudo rm -rf /etc/kubernetes/ &&
	docker system prune -af --volumes