Lokesh Soni lokeshsoni

## nlp.py
for word in nlp.vocab:
    if nlp.vocab[word.orth_].is_stop:
        print(word.orth_)

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

## small_xception.py
"""Downsized version of Xception, without residual connections.
"""
from __future__ import print_function
from __future__ import absolute_import

from keras.models import Model
from keras.layers import Dense
from keras.layers import Input
from keras.layers import BatchNormalization
from keras.layers import Activation

## Tranfer_Learning_Keras_02.py
from keras import applications
from keras.preprocessing.image import ImageDataGenerator
from keras import optimizers
from keras.models import Sequential, Model
from keras.layers import Dropout, Flatten, Dense, GlobalAveragePooling2D
from keras import backend as k
from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TensorBoard, EarlyStopping

img_width, img_height = 256, 256

## api.py
import warnings
warnings.filterwarnings("ignore")

import os
from shutil import copy
from flask import jsonify
from time import time
import numpy as np
from flask import Flask, request, render_template, send_from_directory
from keras.models import load_model

## tmux-cheatsheet.markdown

      
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                lokeshsoni
                / tmux-cheatsheet.markdown
            
            
              Created
              March 19, 2018 12:40
                — forked from MohamedAlaa/tmux-cheatsheet.markdown
            
              
                tmux shortcuts & cheatsheet
              
          
    tmux shortcuts & cheatsheet

start new:
tmux

start new with session name:
tmux new -s myname


## cifar10-darknet-gist0509.ipynb

      
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                lokeshsoni
                / cifar10-darknet-gist0509.ipynb
            
            
              Created
              August 13, 2018 08:32
                — forked from daveluo/cifar10-darknet-gist0509.ipynb
            
              
                Demo of CPU-only Predictions and Pytorch Model Saving/Loading, 5/9/2018
              
          
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## aws_setup_ec2.sh
#!/bin/bash

sudo yum update -y
sudo yum install -y git bzip2 vim htop tree zip unzip

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh

bash miniconda.sh -b -p ${HOME}/miniconda
rm miniconda.sh

## ubuntu_remote_desktop.sh
# Install Chrome Remote Desktop on the VM instance
wget https://dl.google.com/linux/direct/chrome-remote-desktop_current_amd64.deb
sudo apt update
sudo dpkg --install chrome-remote-desktop_current_amd64.deb
sudo apt install --assume-yes --fix-broken

# install desktop environment
sudo apt install ubuntu-desktop

 # install google-chrome

## jupyterlab_extensions.sh
# jupyterlab-code-formatter
conda install -c conda-forge black
jupyter labextension install @ryantam626/jupyterlab_code_formatter
conda install -c conda-forge jupyterlab_code_formatter
jupyter serverextension enable --py jupyterlab_code_formatter
	for word in nlp.vocab:
	if nlp.vocab[word.orth_].is_stop:
	print(word.orth_)
	#!/bin/bash
	#####################################################
	# Name: Bash CheatSheet for Mac OSX
	#
	# A little overlook of the Bash basics
	#
	# Usage:
	#
	# Author: J. Le Coupanec
	# Date: 2014/11/04
	"""Downsized version of Xception, without residual connections.
	"""
	from __future__ import print_function
	from __future__ import absolute_import

	from keras.models import Model
	from keras.layers import Dense
	from keras.layers import Input
	from keras.layers import BatchNormalization
	from keras.layers import Activation
	from keras import applications
	from keras.preprocessing.image import ImageDataGenerator
	from keras import optimizers
	from keras.models import Sequential, Model
	from keras.layers import Dropout, Flatten, Dense, GlobalAveragePooling2D
	from keras import backend as k
	from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TensorBoard, EarlyStopping

	img_width, img_height = 256, 256
	import warnings
	warnings.filterwarnings("ignore")

	import os
	from shutil import copy
	from flask import jsonify
	from time import time
	import numpy as np
	from flask import Flask, request, render_template, send_from_directory
	from keras.models import load_model
	#!/bin/bash

	sudo yum update -y
	sudo yum install -y git bzip2 vim htop tree zip unzip

	wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh

	bash miniconda.sh -b -p ${HOME}/miniconda
	rm miniconda.sh
	# Install Chrome Remote Desktop on the VM instance
	wget https://dl.google.com/linux/direct/chrome-remote-desktop_current_amd64.deb
	sudo apt update
	sudo dpkg --install chrome-remote-desktop_current_amd64.deb
	sudo apt install --assume-yes --fix-broken

	# install desktop environment
	sudo apt install ubuntu-desktop

	# install google-chrome
	# jupyterlab-code-formatter
	conda install -c conda-forge black
	jupyter labextension install @ryantam626/jupyterlab_code_formatter
	conda install -c conda-forge jupyterlab_code_formatter
	jupyter serverextension enable --py jupyterlab_code_formatter