Muhammed ÇELİK celik-muhammed

## vm_containers.md

      
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                celik-muhammed
                / vm_containers.md
            
            
              Created
              May 23, 2023 20:06
                — forked from ziritrion/vm_containers.md
            
              
                Cheatsheet for various container and VM thingies
              
          
    Multipass

Tool to run Ubuntu VM's easily with command-line interface.
List available instances

multipass list

Create and launch a new instance using the latest LTS release

  
## tf_custom_metrics.py
# Source: https://gist.github.com/arnaldog12/5f2728f229a8bd3b4673b72786913252

import numpy as np
import tensorflow as tf
from keras import backend as K


# Regression

def r_square(y_true, y_pred):

## GetDummies.py
# get_dummies.py
# Save your custom function in a Python script (.py file) then import it
# for to use it with pickle.load().
# This is a common approach to store and reuse custom functions in different scripts or projects.
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin

class GetDummies(BaseEstimator, TransformerMixin):
    def __init__(self, data_sep=',', col_name_sep='_'):

## ScaleFreqs.csv

          
            notes
            notesDo
            frequency
            base_value

            
              C0
              Do0
              16,35
              440,00

            
              C#0
              Do#0
              17,32
              1,0594630943593

            
              D0
              Re0
              18,35
              This file Modified for some requirements

            
              D#0
              Re#0
              19,45
              official link below

            
              E0
              Mi0
              20,60
              https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fpages.mtu.edu%2F~suits%2FScaleFreqs.xls&wdOrigin=BROWSELINK

            
              F0
              Fa0
              21,83

            
              F#0
              Fa#0
              23,12
              Do not change cell D3

            
              G0
              Sol0
              24,50
              Change cell D1 for different A4 reference freqs.

            
              G#0
              Sol#0
              25,96
              Column C is frequency in Hz.

## Generate-RGB-Image.py
# step-1 Define Python Library
import numpy as np
import matplotlib.pyplot as plt

# step-2 Define Image size - height, width and depth
# (rows, columns, dimensions) format
height, width, channel = 64, 64, 3

# step-3 Define Red,Green,Blue Color -for each- 0 to 255
red, green, blue = 255, 0, 0
	# Source: https://gist.github.com/arnaldog12/5f2728f229a8bd3b4673b72786913252

	import numpy as np
	import tensorflow as tf
	from keras import backend as K


	# Regression

	def r_square(y_true, y_pred):
	# get_dummies.py
	# Save your custom function in a Python script (.py file) then import it
	# for to use it with pickle.load().
	# This is a common approach to store and reuse custom functions in different scripts or projects.
	import numpy as np
	import pandas as pd
	from sklearn.base import BaseEstimator, TransformerMixin

	class GetDummies(BaseEstimator, TransformerMixin):
	def __init__(self, data_sep=',', col_name_sep='_'):
notes	notesDo	frequency	base_value
C0	Do0	16,35	440,00
C#0	Do#0	17,32	1,0594630943593
D0	Re0	18,35	This file Modified for some requirements
D#0	Re#0	19,45	official link below
E0	Mi0	20,60	https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fpages.mtu.edu%2F~suits%2FScaleFreqs.xls&wdOrigin=BROWSELINK
F0	Fa0	21,83
F#0	Fa#0	23,12	Do not change cell D3
G0	Sol0	24,50	Change cell D1 for different A4 reference freqs.
G#0	Sol#0	25,96	Column C is frequency in Hz.
	# step-1 Define Python Library
	import numpy as np
	import matplotlib.pyplot as plt

	# step-2 Define Image size - height, width and depth
	# (rows, columns, dimensions) format
	height, width, channel = 64, 64, 3

	# step-3 Define Red,Green,Blue Color -for each- 0 to 255
	red, green, blue = 255, 0, 0