AdityaSoni19031997

import torch
import io
import pandas as pd
import gc
import numpy as np
import transformers

'''

Original Code Author [@dlibenzi](https://github.com/dlibenzi)

AdityaSoni19031997

import random
from itertools import chain, cycle, islice
import torch.utils.data as data

import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import time
import torch
import numpy as np

AdityaSoni19031997

# Installs PyTorch, PyTorch/XLA, and Torchvision
# Copy this cell into your own notebooks to use PyTorch on Cloud TPUs 
# Warning: this may take a couple minutes to run

import collections
from datetime import datetime, timedelta
import os
import requests
import threading

AdityaSoni19031997

1.251.423.0 1.279.441.0 1.257.387.0 1.275.1078.0 1.249.88.0 1.275.1080.0 1.257.401.0 1.275.1744.0 1.275.1346.0 1.249.715.0

AdityaSoni19031997

bbox Generation

• http://supervise.ly
• https://rectlabel.com/ https://www.kaggle.com/martinpiotte/bounding-box-data-for-the-whale-flukes
• https://github.com/Microsoft/VoTT
• https://github.com/wkentaro/labelme

AdityaSoni19031997

S.No	Slack Handler	NAME(Author)	Last Updated	NBS LINK	ODS MSG LINK
1	velavok	Alexander Kovalev	9th Dec	https://nbviewer.jupyter.org/github/Yorko/mlcourse.ai/blob/master/jupyter_english/tutorials/plotly_tutorial_for_interactive_plots_sankovalev.ipynb	https://opendatascience.slack.com/archives/C91N8TL83/p1543267284291700
2	altprof	Gleb Levitski	9th Dec	http://nbviewer.jupyter.org/github/Yorko/mlcourse.ai/blob/master/jupyter_english/tutorials/basic_semi-supervised_learning_models_altprof.ipynb	https://opendatascience.slack.com/archives/C91N8TL83/p1543848630231700
3	krotix	Aleksandr Korotkov	9th Dec	https://nbviewer.jupyter.org/github/Yorko/mlcourse.ai/blob/master/jupyter_english/tutorials/yet_another_ensemble_learning_helper_aleksandr_korotkov.ipynb	https://opendatascience.slack.com/archives/C91N8TL83/p1544203317384100
4	Archit Run

AdityaSoni19031997

#!/usr/bin/env python
# encoding: utf-8

import sys

def trace_calls_and_returns(frame, event, arg):
    co = frame.f_code
    func_name = co.co_name
    if func_name == 'write':
        # Ignore write() calls from print statements

AdityaSoni19031997

#from my repo 
#https://github.com/AdityaSoni19031997/Machine-Learning/blob/master/AV/AV_Enigma_NLP_functional_api.ipynb

def preprocess_word(word):
    # Remove punctuation
    word = word.strip('\'"?!,.():;')
    # Convert more than 2 letter repetitions to 2 letter
    # funnnnny --> funny
    word = re.sub(r'(.)\1+', r'\1\1', word)
    # Remove - & '

AdityaSoni19031997

AdityaSoni19031997

# Importing dataset
dataset <- read.csv('ASD.csv')

# Taking care of missing data
# Fixing ethnicity
dataset[dataset == "?"] <- NA
summary(dataset)

#install.packages('DescTools')
library(DescTools)