Raymond Dixon RaymondDixon

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.

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

To Update conda conda update -n base conda

To get kernel support install nb_conda in base env conda install nb_conda

Based on SO link to get kernel option inside notebooks, install jupyter in new env conda install ipykernel

Then install jupyter extensions conda install -c conda-forge jupyter_contrib_nbextensions, install doc, list doc

To get a custom cell formats, like full width ones, 3 methods are available.

Info available in SO1, SO2

For Err:

fatal: unable to access 'https://github.com/RaymondDixon/ml-agents.git/': Could not resolve proxy: proxy.domain.com

it means proxy is wrong.

In windows-Behind Firewall to setup proxy, Open GitBash type git config --list --show-origin to see where .gitconfig file is (usually in Users/username/.gitconfig) type cd to be in then press enter type vim .gitconfig then press enter

	using System;
	using System.Collections;
	using System.Collections.Generic;
	using System.Net.Sockets;
	using System.Text;
	using System.Threading;
	using UnityEngine;

	public class TCPTestClient : MonoBehaviour {
	#region private members

	# For Windows users# Note: <> denotes changes to be made

	#Create a conda environment
	conda create --name <environment-name> python=<version:2.7/3.5>

	#To create a requirements.txt file:
	conda list #Gives you list of packages used for the environment

	conda list -e > requirements.txt #Save all the info about packages to your folder

	"""Information Retrieval metrics

	Useful Resources:
	http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
	http://www.nii.ac.jp/TechReports/05-014E.pdf
	http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
	http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
	Learning to Rank for Information Retrieval (Tie-Yan Liu)
	"""
	import numpy as np

Raymond Dixon RaymondDixon

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