Arjun Kava arjun-kava

How to create an HTTPS certificate for localhost domains

This focuses on generating the certificates for loading local virtual hosts hosted on your computer, for development only.

Do not use self-signed certificates in production ! For online certificates, use Let's Encrypt instead (tutorial).

Only do this if you understand the consequences: all node programs will be able to bind on ports < 1024

sudo setcap 'cap_net_bind_service=+ep' /usr/local/bin/node

Important: your node location may vary. Use which node to find it, or use it directly in the command:

	# script used to publish package to npm and push new tag
	# step 1 - change version from package json
	# step 2 - run ./scripts/publish-npm.sh $version i.e ./scripts/publish-npm.sh 0.0.3
	set -e

	if [ $# -eq 0 ]
	then
	echo "Please specify version."
	exit
	fi

	from keras.datasets import mnist
	import cv2
	import os
	from tqdm import tqdm

	from config import *

	(x_train, y_train), (x_test, y_test) = mnist.load_data()

	def extract(x,y,dir_path):

	import { print, isSpecifiedScalarType, isSpecifiedDirective } from 'graphql';

	export function printSchemaWithDirectives(schema) {
	const str = Object
	.keys(schema.getTypeMap())
	.filter(k => !k.match(/^__/))
	.reduce((accum, name) => {
	const type = schema.getType(name);
	return !isSpecifiedScalarType(type)
	? accum += `${print(type.astNode)}\n`

	#### KERAS ####
	import tensorflow as tf
	from keras.backend.tensorflow_backend import set_session
	config = tf.ConfigProto()
	config.gpu_options.per_process_gpu_memory_fraction = 0.3
	set_session(tf.Session(config=config))

	#### TF ####
	config = tf.ConfigProto(
	gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.5),

	from __future__ import print_function

	from keras.preprocessing import sequence
	from keras.models import Sequential
	from keras.layers import Dense, Embedding
	from keras.layers import LSTM
	from keras.datasets import imdb

	max_features = 20000
	maxlen = 80 # cut texts after this number of words (among top max_features most common words)

	# -- coding: utf-8 --
	"""ResNet50 model for Keras with fused intermediate layers
	# Reference:
	https://arxiv.org/pdf/1604.00133.pdf
	Adapted from original resnet
	"""
	from __future__ import print_function
	from __future__ import absolute_import

	import warnings

	from keras import backend as K

	cfg = K.tf.ConfigProto()
	cfg.gpu_options.allow_growth = True
	K.set_session(K.tf.Session(config=cfg))

	K.clear_session()