Ayke

Prerequisites, i.e. the most important things

0. Time of writing: Jan 18, 2023, updated on Sep 22, 2024. The following assumes that you're trying to install CUDA on WSL2 Ubuntu.

1. Check support matrix first before you install any version of CUDA, because chances are the latest CUDA does not have cuDNN support yet, then you would have to re-install older version if you found out later.

   https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html#cudnn-cuda-hardware-versions

   At the time of writing, the latest cuDNN version is 8.7 and it supports CUDA 11.8.

2. Windows 10 must be build 20145 or later, or you should be on Windows 11.

lackdaz

#!/bin/bash
set -e
## Check for versions compiled with ARM at http://nodejs.org/dist/
## Inspired by http://oskarhane.com/raspberry-pi-install-node-js-and-npm/
## Fill in the Node Version here:
##########################################################################

NODE_VERSION="v12.16.1"

##########################################################################

benhoyt

"""An atomic, thread-safe incrementing counter."""

import threading


class AtomicCounter:
    """An atomic, thread-safe incrementing counter.

    >>> counter = AtomicCounter()
    >>> counter.increment()

pvalienteverde

from pyspark.sql import SQLContext
from pyspark import SparkConf, SparkContext
from pyspark.ml.recommendation import ALS
from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
from pyspark.ml.evaluation import RegressionEvaluator
from math import sqrt

from operator import add

conf = (SparkConf()

application2000

These commands are based on a askubuntu answer http://askubuntu.com/a/581497
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
ABSOLUTELY NO WARRANTY.

If you are still reading let's carry on with the code.

sudo apt-get update && \
sudo apt-get install build-essential software-properties-common -y && \
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \

Mistobaan

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

jason5ng32

[General]
loglevel = notify
skip-proxy = 127.0.0.1, 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12, 100.64.0.0/10, localhost, *.local, ::ffff:0:0:0:0/1, ::ffff:128:0:0:0/1
bypass-tun = 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12

# dns-server = 119.29.29.29,223.5.5.5,114.114.115.115
# external-controller-access = [email protected]:6155
# ipv6 = true

// REMEMBER TO CHANGE THE external-controller-access' PASSWORD

soffchen

[General]
skip-proxy = 127.0.0.1, 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12, 100.64.0.0/10, localhost, *.local, ::ffff:0:0:0:0/1, ::ffff:128:0:0:0/1
bypass-tun = 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12
# dns-server = 119.29.29.29, 223.5.5.5, 114.114.114.114
loglevel = notify

[Proxy]
BJ-All = custom
BJ-HK-Azure = custom
BJ-US-Azure = custom

xfanwu

# Copy and self modified from ys.zsh-theme, the one of default themes in master repository
# Clean, simple, compatible and meaningful.
# Tested on Linux, Unix and Windows under ANSI colors.
# It is recommended to use with a dark background and the font Inconsolata.
# Colors: black, red, green, yellow, *blue, magenta, cyan, and white.
# http://xiaofan.at
# 2 Jul 2015 - Xiaofan

# Machine name.
function box_name {

mandiwise

// Reference: http://www.blackdogfoundry.com/blog/moving-repository-from-bitbucket-to-github/
// See also: http://www.paulund.co.uk/change-url-of-git-repository

$ cd $HOME/Code/repo-directory
$ git remote rename origin bitbucket
$ git remote add origin https://github.com/mandiwise/awesome-new-repo.git
$ git push origin master

$ git remote rm bitbucket