AbhishekAshokDubey

# -*- coding: utf-8 -*-
"""
Created on Fri May 05 04:12:36 2017

@author: ADubey4
"""

from __future__ import unicode_literals, print_function
import gensim
from gensim.parsing import PorterStemmer

AbhishekAshokDubey

import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile

from collections import defaultdict
from io import StringIO

AbhishekAshokDubey

using Microsoft.Rtc.Collaboration;
using Microsoft.Rtc.Signaling;
using System;
using System.Threading;

namespace ucma1
{
    class Program
    {
        private const string sipaddress = "sip:sender@domain.com";

AbhishekAshokDubey

https://github.com/AlexeyAB/darknet

https://pjreddie.com/darknet/yolo/ old: https://pjreddie.com/darknet/yolov1/ , https://pjreddie.com/darknet/yolov2/ https://timebutt.github.io/static/how-to-train-yolov2-to-detect-custom-objects/

git clone https://github.com/pjreddie/darknet

AbhishekAshokDubey

# -*- coding: utf-8 -*-
"""
Created on Thu Apr  5 17:23:53 2018
@author: ADubey4
"""

import cv2
from pytesseract import pytesseract as pt
import pandas as pd
from PIL import Image

AbhishekAshokDubey

https://www.youtube.com/githubguides
https://guides.github.com/introduction/flow/


git clone <url>
cd <repo_folder>
<make changes>
git add .
git commit -m "1st"
git push

AbhishekAshokDubey

# -*- coding: utf-8 -*-
"""
Created on Fri Oct 02 14:20:28 2018

@author: ADubey4

=========================================================================
Code to automate the data pre-processing and ML pipeline for the project
=========================================================================
Features provided:

AbhishekAshokDubey

# -*- coding: utf-8 -*-
"""
@author: abhishek
"""

from exchangelib import Account, Credentials, DELEGATE, Configuration, NTLM, Mailbox, Message, FileAttachment
from exchangelib.protocol import BaseProtocol, NoVerifyHTTPAdapter

def send_email(account, subject , body, to, cc = [], bcc=[], attachment_path = ""):
    m = Message(

AbhishekAshokDubey

# -*- coding: utf-8 -*-

import numpy as np
from qiskit import QuantumCircuit
from run_circuit import get_current_state, get_qc_simulation_results, get_qc_actual_results
from qiskit.visualization import plot_histogram

n = 2
grover_circuit = QuantumCircuit(n) # if we use grover_circuit.measure_all() below
# grover_circuit = QuantumCircuit(n, n) # if we grover_circuit.measure() below

AbhishekAshokDubey

# -*- coding: utf-8 -*-

import numpy as np
from qiskit import QuantumCircuit
from run_circuit import get_current_state, get_qc_simulation_results, get_qc_actual_results
from qiskit.visualization import plot_histogram

n = 2
grover_circuit = QuantumCircuit(n) # if we use grover_circuit.measure_all() below
# grover_circuit = QuantumCircuit(n, n) # if we grover_circuit.measure() below