cjbayesian

Gaussian Processes Learning Resources

Author: Corey Chivers

• Gaussian processes for time-series modelling Specific to Time-Series modeling with GPs. A gentle introduction. This is my go-to resource.
• Gaussian Processes for Dummies Very simple primer with python code.
• Gentle Introduction to Gaussian Process Regression Very short primer with python code.
• Introduction to Gaussian Processes Lengthier, math heavy intro with octave code.
• Gaussian Processes for (Regression, Classification, Dimensionality Reduction): A Quick Introduction 2 page primers on each of 3 applications of GP with matlab code.

aparrish

iambrian

Getting Setup: Follow the instruction on https://gym.openai.com/docs

git clone https://github.com/openai/gym
cd gym
pip install -e . # minimal install

Basic Example using CartPole-v0:

briandeheus

import binascii
import struct


class Punk(object):

    _END_CHUNK_TYPE = 'IEND'
    _PUNK_CHUNK_TYPE = 'puNk'
    _MAX_BYTES = 2147483647
    _chunks = dict()

l0ki000

#!/bin/bash
# Cisco Anyconnect CSD wrapper for OpenConnect

# Enter your vpn host here
CSD_HOSTNAME=
if [[ -z ${CSD_HOSTNAME} ]]
then
    echo "Define CSD_HOSTNAME with vpn-host in script text. Exiting."
    exit 1
fi

elizabrock

Great Papers in Computer Science

19th Century

Lovelace, Ada Augusta (1842) "Notes on the Analytical Engine"

1930's

Aiken, Howard (1937) "Proposed Automatic Calculating Machine"

egel

#!/usr/bin/python
# -*- coding: utf-8 -*-

import sublime_plugin
import subprocess
from time import sleep
import sys
 
cl = lambda line: subprocess.Popen(line, shell=True, stdout=subprocess.PIPE).communicate()[0].strip()
log = lambda message: sys.stderr.write("Log: %s\n" % message)

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






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denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

benfrain

#!/bin/bash

while read oldrev newrev ref
do
  branch=`echo $ref | cut -d/ -f3`

  if [ "master" == "$branch" ]; then
    git --work-tree=./path/under/root/dir/live-site/ checkout -f $branch
    echo 'Changes pushed live.'
  fi