MyKEms

tell application "Calendar"
    -- Execute this script first manually via osascript Exchange_Sync.applescript to allow all security pop-ups. Make sure you use empty destination calendar because it will be wiped each run!
    -- Don't forget to grant full calendar rights from System settings > Privacy & Security > Calendars > App > Options > Full calendar access
    -- Schedule it via crontab -e and paste: "0 9,14 * * * osascript /Users/user.name/macOS_Cronjobs/Exchange_Sync.applescript > /Users/user.name/macOS_Cronjobs/cronjob.log"
    -- Get the current date and time
    set currentDate to current date
    -- Set the start date range to 7 days ago
    set startDateRange to currentDate - (7 * days)
    -- Set the end date range to 30 days in the future
    set endDateRange to currentDate + (30 * days)

LouisFaure

import scanpy as sc
import cupy as cp
from scipy.sparse import csr_matrix, find, issparse
from scipy.sparse.linalg import eigs
import numpy as np
import pandas as pd
import cudf
import glob
from cupy.sparse import cupyx as cpx
from cupyx.scipy.sparse import coo_matrix as coo_matrix_gpu

kashif

class AMSgrad(Optimizer):
    """AMSGrad optimizer.

    Default parameters follow those provided in the Adam paper.

    # Arguments
        lr: float >= 0. Learning rate.
        beta_1: float, 0 < beta < 1. Generally close to 1.
        beta_2: float, 0 < beta < 1. Generally close to 1.
        epsilon: float >= 0. Fuzz factor.

timvieira

"""
Simple example of manually performing "automatic" differentiation
"""
import numpy as np
from numpy import exp, sin, cos


def f(x, with_grad=False):
    # Need to cache intermediates from forward pass (might not use all of them).
    a = exp(x)

nguyendv

import boto3

# http://boto3.readthedocs.io/en/latest/reference/services/ec2.html#service-resource

ec2 = boto3.resource('ec2', aws_access_key_id='AWS_ACCESS_KEY_ID',
                     aws_secret_access_key='AWS_SECRET_ACCESS_KEY',
                     region_name='us-west-2')

# create VPC
vpc = ec2.create_vpc(CidrBlock='192.168.0.0/16')

tarokiritani

<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js">
</script>
<script>
$(document).ready(function(){
  var all_cells = $("div.cell");
  $.each(all_cells, function( index, value ) {
    if ($(value).find("h1").length == 0){
      $(value).hide()
    } else{
      var bare_h1 = $(value).find("h1").text()

toonetown

#!/bin/bash
: ${NUM_FAILURES_ALLOWED:=10}
: ${SLEEP_PING_TIME:=10}

if [ "${1}" == "-c" -a -n "${2}" ]; then SHIMO_SCRIPT_CFG="${2}"; shift 2; fi

if [ -n "${SHIMO_SCRIPT_CFG}" ]; then
    : ${SHIMO_HOME:="${HOME}/Library/Application Support/Shimo"}
    : ${SHIMO_SCRIPT_HOME:="${SHIMO_HOME}/Scripts"}
    : ${SHIMO_CONFIG_DIR:="${SHIMO_SCRIPT_HOME}/${SHIMO_SCRIPT_CFG}"}

fperez

betatim

# Convert your notebook to an interactive webpage
#
#  Attached a notebook (really-interactive-posts.ipynb) and the generated
# output (really-interactive-posts.html). The thebe.tpl template file is
# at the very end of the gist.

$ jupyter nbconvert --template thebe.tpl --to html <notebook.ipynb>


# You can open the generated webpage locally file://... howerver some

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)