Hristian Carabulea hristian-carabulea

## Guide.md

      
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                hristian-carabulea
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              March 14, 2018 07:11
                — forked from dpaluy/Guide.md
            
              
                A Guide to Software Developer Job Advertisements
              
          
Job Description
Actual meaning


A fast-paced environment
Your job will be constant firefighting


A market leader
Recently started making a profit


Able to work with minimal spervision
You'll be the one we blame when something goes wrong


An Agile team
We have daily stand-ups


Dynamic environment
Our leadership keeps changing priorities


Must be a team player
Must not question authority


Ninja
You do all the work alone


Passionate
You wil


## fix-freetype-bug.sh
#/bin/bash

# Installs libfreetype6 2.8.0 into affected electron app.
# For more details ee:
#   https://github.com/atom/atom/issues/15737
#   https://github.com/Microsoft/vscode/issues/35675

CRT=$(dpkg-query --showformat='${Version}' --show libfreetype6)
CRT=$(echo $CRT | sed -e 's/-.*$//g')

## Installing Python 3.7.0 on Raspbian.rst

      
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                hristian-carabulea
                / Installing Python 3.7.0 on Raspbian.rst
            
            
              Created
              November 18, 2018 14:48
                — forked from SeppPenner/Installing Python 3.7.4 on Raspbian.rst
            
              
                Installing Python 3.7.0 on Raspbian
              
          
    Installing Python 3.7.0 on Raspbian =================================
As of July 2018, Raspbian does not yet include the latest Python release, Python 3.7.0 This means we will have to build it ourselves, and here is how to do it.

Install the required build-tools (some might already be installed on your system).


## tf-js-basic-webpage.html
<!DOCTYPE html>
<html>
    <head>
        <!-- Load TFJS
             loaded from https://github.com/tensorflow/tfjs -->
        <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>

        <title>Hello TFJS</title>
    </head>
  <body>

## tfjs-example.html
<!DOCTYPE html>
<html>
    <head>
            <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>
    </head>
    <body>
        <p id="prediction">Prediction(100):  </p>
        <script>
            async function run(){
            const model=tf.sequential();

## tensorflow.py
a = tf.Constant(1.0, dtype=tf.float32)
b = tf.Constant(3.0, dtype=tf.float32)
c = a + b

## vae.py

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.keras.layers import Lambda, Input, Dense
from tensorflow.keras.models import Model
from tensorflow.keras.losses import mse, binary_crossentropy
from tensorflow.keras.utils import plot_model
from tensorflow.keras import backend as K

## fashion-mnist.py

from keras.layers import Input, Dense
from keras.models import Model
import matplotlib.pyplot as plt
import numpy as np
from sklearn.neighbors import LSHForest
import matplotlib.pyplot as plt
from keras.datasets import fashion_mnist


## autoencoder.py
from keras.datasets import mnist
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.keras.layers import InputLayer, Conv2D, MaxPooling2D, Conv2DTranspose, Flatten, Dense, Reshape
from tensorflow.keras import Model, Sequential
import random
from scipy.ndimage.interpolation import zoom
from tensorflow.keras.models import load_model
from sklearn.metrics.pairwise import cosine_similarity

## training-loop.py
import time
import numpy as np
from collections import deque
from RoadEnv import RoadEnv
from DQNAgent import DQNAgent

# Initialize environment
env = RoadEnv()

# size of input image
Job Description	Actual meaning
A fast-paced environment	Your job will be constant firefighting
A market leader	Recently started making a profit
Able to work with minimal spervision	You'll be the one we blame when something goes wrong
An Agile team	We have daily stand-ups
Dynamic environment	Our leadership keeps changing priorities
Must be a team player	Must not question authority
Ninja	You do all the work alone
Passionate	You wil
	#/bin/bash

	# Installs libfreetype6 2.8.0 into affected electron app.
	# For more details ee:
	# https://github.com/atom/atom/issues/15737
	# https://github.com/Microsoft/vscode/issues/35675

	CRT=$(dpkg-query --showformat='${Version}' --show libfreetype6)
	CRT=$(echo $CRT \| sed -e 's/-.*$//g')
	<!DOCTYPE html>
	<html>
	<head>
	<!-- Load TFJS
	loaded from https://github.com/tensorflow/tfjs -->
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>

	<title>Hello TFJS</title>
	</head>
	<body>
	a = tf.Constant(1.0, dtype=tf.float32)
	b = tf.Constant(3.0, dtype=tf.float32)
	c = a + b

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function

	from tensorflow.keras.layers import Lambda, Input, Dense
	from tensorflow.keras.models import Model
	from tensorflow.keras.losses import mse, binary_crossentropy
	from tensorflow.keras.utils import plot_model
	from tensorflow.keras import backend as K

	from keras.layers import Input, Dense
	from keras.models import Model
	import matplotlib.pyplot as plt
	import numpy as np
	from sklearn.neighbors import LSHForest
	import matplotlib.pyplot as plt
	from keras.datasets import fashion_mnist
	from keras.datasets import mnist
	import numpy as np
	import matplotlib.pyplot as plt
	from tensorflow.keras.layers import InputLayer, Conv2D, MaxPooling2D, Conv2DTranspose, Flatten, Dense, Reshape
	from tensorflow.keras import Model, Sequential
	import random
	from scipy.ndimage.interpolation import zoom
	from tensorflow.keras.models import load_model
	from sklearn.metrics.pairwise import cosine_similarity
	import time
	import numpy as np
	from collections import deque
	from RoadEnv import RoadEnv
	from DQNAgent import DQNAgent

	# Initialize environment
	env = RoadEnv()

	# size of input image