Gus Hahn-Powell myedibleenso

Setting up fail2ban with nginx proxy manager running via docker

trying to follow this tutorial, i was not able to get fail2ban to work in my setup, so here is a gist in case I forget.

1. install fail2ban

sudo apt install fail2ban

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:

Turn off Secure Boot

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.

*2vec papers

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

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

	ActivityTweet
	generic_activity_highlights
	generic_activity_momentsbreaking
	RankedOrganicTweet
	suggest_activity
	suggest_activity_feed
	suggest_activity_highlights
	suggest_activity_tweet

	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')

	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/

	# 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

	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()

	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',