arafatkatze

package main

import (
	rbt "github.com/Arafatk/dataviz/trees/redblacktree"
)

func main() {
	tree := rbt.NewWithIntComparator()
	tree.Put(5, "e")
	tree.Put(6, "f")

arafatkatze

package main

import (
	bheap "github.com/Arafatk/dataviz/trees/binaryheap"
)

func main() {
	heap := bheap.NewWithIntComparator()
	heap.Push(3)
	heap.Push(19)

arafatkatze

# Read the image file

image_file = File.new(Dir.pwd + '/break-captcha-protobuf/captcha-1.png', "r")
feeds_tensor = Tensorflow::Tensor.new(image_file.read)

arafatkatze

# Specify the operations of tensorflow model
feeds_output = saved_model.graph.operation('CAPTCHA/input_image_as_bytes')
fetches = saved_model.graph.operation('CAPTCHA/prediction')

# Run the Model
feeds_tensor_to_output_hash = {feeds_output.output(0) => feeds_tensor}
out_tensor = saved_model.session.run(feeds_tensor_to_output_hash, [fetches.output(0)], [])

#Print the results
puts out_tensor

arafatkatze

require 'tensorflow'
# Loading Saved Model
saved_model = Tensorflow::Savedmodel.new
saved_model.LoadSavedModel(Dir.pwd + '/break-captcha-protobuf', ['serve'], nil)

# Read the image file and specify the image contents in a Tensor
image_file = File.new(Dir.pwd + '/break-captcha-protobuf/captcha-1.png', "r")
feeds_tensor = Tensorflow::Tensor.new(image_file.read)

arafatkatze

package main

import "github.com/Arafatk/glot"

func main() {
	dimensions := 2
	// The dimensions supported by the plot
	persist := false
	debug := false
	plot, _ := glot.NewPlot(dimensions, persist, debug)

arafatkatze

package main

import "github.com/Arafatk/glot"

func main() {
	dimensions := 2
	// The dimensions supported by the plot
	persist := false
	debug := false
	plot, _ := glot.NewPlot(dimensions, persist, debug)

arafatkatze

from __future__ import print_function

import tensorflow as tf
FLAGS = None
a = tf.constant([[2, 3],[4,1]])
b = tf.constant([[5, 6],[1,3]])
d = tf.constant([[0, 4],[9,8]])
with tf.Session() as sess:
    c = sess.run(a+b)

arafatkatze

require 'tensorflow'
graph = Tensorflow::Graph2.new
tensor_1 = Tensorflow::Tensor.new([2,3,4,6])
tensor_2 = Tensorflow::Tensor.new([2,3,4,6])
const_1 = graph.const("m1", tensor_1)
const_2 = graph.const("m2", tensor_2)
opec = Tensorflow::OpSpec.new
opec.name = "Additionofconstants"
opec.type = "Add"
opec.input = [const_1, const_2]

arafatkatze

node {
  name: "m1"
  op: "Const"
  attr {
    key: "_class"
    value {
      list {
      }
    }
  }