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hristian-carabulea / Guide.md
Last active March 14, 2018 07:11
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
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hristian-carabulea / fix-freetype-bug.sh
Created March 16, 2018 17:38 — forked from moisadoru/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')
@hristian-carabulea
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.

  1. Install the required build-tools (some might already be installed on your system).
@hristian-carabulea
hristian-carabulea / installation_anaconda_pytorch_tensorflow.txt
Created March 9, 2019 16:18 — forked from maranemil/installation_anaconda_pytorch_tensorflow.txt
Installation Anaconda Tensorflow PyTorch Jupyter Notebook Ubuntu 18.04 Server Xfce4 VM Virtualbox
#####################################################################
#
# Installation Anaconda Tensorflow PyTorch Jupyter Notebook Ubuntu 18.04 Server Xfce4 VM Virtualbox
# https://ftp-stud.hs-esslingen.de/pub/Mirrors/releases.ubuntu.com/18.04/
#
# Install
# ubuntu-18.04.2-live-server-amd64.iso
# sudo apt update && sudo apt upgrate && sudo apt install xfce4
# 20:21 - 20:36 = 15 min ~
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hristian-carabulea / tf-js-basic-webpage.html
Created June 22, 2019 12:52 — forked from parmarsuraj99/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>
@hristian-carabulea
hristian-carabulea / tfjs-example.html
Created June 22, 2019 13:10 — forked from parmarsuraj99/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();
@hristian-carabulea
hristian-carabulea / tensorflow.py
Created October 29, 2019 17:42 — forked from jzuern/tensorflow.py
a = tf.Constant(1.0, dtype=tf.float32)
b = tf.Constant(3.0, dtype=tf.float32)
c = a + b
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hristian-carabulea / vae.py
Created October 29, 2019 17:42 — forked from jzuern/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
@hristian-carabulea
hristian-carabulea / fashion-mnist.py
Created October 29, 2019 17:43 — forked from jzuern/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
@hristian-carabulea
hristian-carabulea / autoencoder.py
Created October 29, 2019 17:43 — forked from jzuern/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