Sundeep Teki, PhD sundeepteki

Universities

###phd###

Warning This is SEVERELY outdated, the current jupyter version is > 6.X, please refer to your current jupyter notebook installation!

Disclaimer : I just copied those shortcuts from Jupyter Menú > Help > Keyboard Shortcuts, I didn't wrote them myself.

Check your current shortcuts in your Help, shortcuts coule have been modified by extensions or your past self.

	# (C) Kyle Kastner, June 2014
	# License: BSD 3 clause

	import scipy.stats as st
	import numpy as np

	class gmmhmm:
	#This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m
	def __init__(self, n_states):
	self.n_states = n_states

	#!/bin/bash
	#####################################################
	# Name: Bash CheatSheet for Mac OSX
	#
	# A little overlook of the Bash basics
	#
	# Usage:
	#
	# Author: J. Le Coupanec
	# Date: 2014/11/04

	import pandas as pd
	import numpy as np
	from sklearn.feature_extraction import DictVectorizer

	def encode_onehot(df, cols):
	"""
	One-hot encoding is applied to columns specified in a pandas DataFrame.

	Modified from: https://gist.github.com/kljensen/5452382

	# Installation:
	# - Put this in your .bash_profile
	# - Replace my directory with your exobrain directory on line 10
	#
	# What you get:
	# A Jupyter notebook open on a well-defined port that is always
	# on for exobrain-ing your ideas...

	exec 6<>/dev/tcp/localhost/10000 \|\| (
	source activate py27 &&

	#!/usr/bin/env python

	import argparse
	import matplotlib.pyplot as plt
	import librosa
	import numpy as np
	import os
	from progressbar import ProgressBar

	parser = argparse.ArgumentParser(

	# Working example for my blog post at:
	# https://danijar.github.io/structuring-your-tensorflow-models
	import functools
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data


	def doublewrap(function):
	"""
	A decorator decorator, allowing to use the decorator to be used without

	# Remove anything linked to nvidia
	sudo apt-get remove --purge nvidia*
	sudo apt-get autoremove

	# Search for your driver
	apt search nvidia

	# Select one driver (the last one is a decent choice)
	sudo apt install nvidia-370