IanColdwater

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

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lukebyrne

require('dotenv').config()
const cors = require('cors')
const bodyParser = require('body-parser')
const express = require('express')
const expressJwt = require('express-jwt')
const cookieSession = require('cookie-session')
const jwt = require('jsonwebtoken')
const passport = require('passport')
const GoogleStrategy = require('passport-google-oauth20').Strategy
const jwtSecret = Buffer.from('Zn8Q5tyZ/G1MHltc4F/gTkVJMlrbKiZt', 'base64')

bogaotory

Install Ubuntu 18.04 on Thinkpad X1 Carbon 6th Gen/2018

X1C6 Type: 20KG*

Bionic works out of the box on the new 2018 X1 Carbon. The X1C6 is a beautiful laptop, and Bionic is the best Ubuntu yet. Users of all levels of experties/experiences are recommended to try this combination. The purpose of this documentation is to improve the user's experience.

BIOS/UEFI Changes

Following changes are required by the DSDT patch:

1. Turn off Secure Boot

eduardcloud

import boto3
import time
region = 'eu-west-1'
user_data_script  = """#!/bin/bash 
instanceid=$(curl http://169.254.169.254/latest/meta-data/instance-id) 
cd /
mkdir moodledata
mount -t nfs4 -o nfsvers=4.1,rsize=1048576,wsize=1048576,hard,timeo=600,retrans=2 fs-xxxxxxxxxxc.efs.eu-west-1.amazonaws.com:/ moodledata
tar czf mooodledata-backup-$(date +%d-%m-%Y_%H-%M).tar.gz /moodledata
aws s3 mv mooodledata-backup-*.tar.gz s3://xxxxxxxxx/

thatguysimon

# A python script to turn annotated data in standoff format (brat annotation tool) to the formats expected by Stanford NER and Relation Extractor models
# - NER format based on: http://nlp.stanford.edu/software/crf-faq.html#a
# - RE format based on: http://nlp.stanford.edu/software/relationExtractor.html#training

# Usage:
# 1) Install the pycorenlp package
# 2) Run CoreNLP server (change CORENLP_SERVER_ADDRESS if needed)
# 3) Place .ann and .txt files from brat in the location specified in DATA_DIRECTORY
# 4) Run this script

MarneeDear

from py2neo import Node, Graph, Relationship, PropertyDict
from db.types import GraphLabel, GraphRelationship

graph_url = 'http://localhost:7474/db/data/'

graph_db = Graph(graph_url)

# delete everything
graph_db.delete_all()

wangruohui

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

nzw0301

*2vec papers

1. act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
2. apk2vec https://arxiv.org/abs/1809.05693
3. app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
4. ast2vec https://arxiv.org/abs/2103.11614
5. attribute2vec https://arxiv.org/abs/2004.01375
6. author2vec http://dl.acm.org/citation.cfm?id=2889382
7. baller2vec https://arxiv.org/abs/2102.03291
8. bb2vec https://arxiv.org/abs/1809.09621

casibbald

import argparse
import os
import zipfile
from collections import Counter


# gene_set = set(['rs2015343', 'rs12203592', 'rs4778136', 'rs9782955',
#                 'rs4778138', 'rs3739070', 'rs11074314', 'rs11631797',
#                 'rs12914687', 'rs1667394', 'rs3794604', 'rs3947367',
#                 'rs4778241', 'rs7495174',  'rs7170869',

jrudolph

package akka.http.scaladsl

import java.io.File

import akka.http.scaladsl.unmarshalling.Unmarshal
import akka.util.ByteString

import scala.concurrent.duration._

import akka.actor.ActorSystem