Muhammed Buyukkinaci MuhammedBuyukkinaci

## EKSvsEC2.md

      
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                mbstacy
                / EKSvsEC2.md
            
            
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              September 20, 2023 04:53
            
              
                EKS vs EC2 Kubernetes Costs
              
          
    Kubernetes Cost Comparison EC2 vs EKS

EKS  Kubernetes

AWS EKS service provides the Kubernetes control plane. Price for EKS Service is $0.20 per hour / cluster.
EKS  Use Case Monthly Cost

Three clusters with four worker nodes.

  
## march_madness.py
# python3
#
# Example usage:
# python get_score.py --gender M --submissions-file SampleSubmissionStage2.csv
#
# TeamSpellings.csv and/or WTeamSpellings.csv file must be present in the current directory
import argparse
from math import log

import pandas as pd

## lstm_text_generator.py
import tensorflow as tf
import numpy as np

#set hyperparameters
max_len = 40
step = 2
num_units = 128
learning_rate = 0.001
batch_size = 200
epoch = 60

## tensorflow-add-noise.py
import tensorflow as tf
import numpy as np


def gaussian_noise_layer(input_layer, std):
    noise = tf.random_normal(shape=tf.shape(input_layer), mean=0.0, stddev=std, dtype=tf.float32)
    return input_layer + noise


inp = tf.placeholder(tf.float32, shape=[None, 8], name='input')

## aligning-images.md

      
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                DavidWells
                / aligning-images.md
            
            
              Last active
              April 25, 2024 10:57
            
              
                Guide to aligning images in github readme.md files. https://davidwells.io/snippets/how-to-align-images-in-markdown
              
          
    Aligning images

This is a guide for aligning images.
See the full Advanced Markdown doc for more tips and tricks
left alignment


## Dropout.py
# -*- coding: utf-8 -*-

import sys
import numpy

numpy.seterr(all='ignore')


'''
	# python3
	#
	# Example usage:
	# python get_score.py --gender M --submissions-file SampleSubmissionStage2.csv
	#
	# TeamSpellings.csv and/or WTeamSpellings.csv file must be present in the current directory
	import argparse
	from math import log

	import pandas as pd
	import tensorflow as tf
	import numpy as np

	#set hyperparameters
	max_len = 40
	step = 2
	num_units = 128
	learning_rate = 0.001
	batch_size = 200
	epoch = 60
	import tensorflow as tf
	import numpy as np


	def gaussian_noise_layer(input_layer, std):
	noise = tf.random_normal(shape=tf.shape(input_layer), mean=0.0, stddev=std, dtype=tf.float32)
	return input_layer + noise


	inp = tf.placeholder(tf.float32, shape=[None, 8], name='input')
	# -- coding: utf-8 --

	import sys
	import numpy

	numpy.seterr(all='ignore')


	'''