Jack Vial jackvial

Ubuntu 22.04 for Deep Learning

In the name of God

This gist contains steps to setup Ubuntu 22.04 for deep learning.

Install Ubuntu 22.04

Lambda Calculus Q&A

These are my responses to some of the questions asked at the end of my Lambda Calculus talk, held on 2019-10-15 at Smartly.io's DevTalks in Helsinki. I've grouped similar questions together.

Books and Resources

What's the one encompassing book you would recommend to read on this very interesting topic?
Can you recommend a book (or books) that cover some of the history you shared in more detail?
So what IS the book to read to get into understanding all of this?

Remote Jupyter Notebook

$laptop: ssh -l <username>@<yourNewServerIP>
$server: jupyter notebook --no-browser --port=8888
$laptop: ssh -NL 8888:localhost:8888 <username>@<yourNewServerIP>

Then you can goto http://localhost:8888 on your laptop’s browser and remotely view/edit your Jupyter notebooks.

Postgres Setup

Step 1: Install PostgreSQL

Here are the installation steps on Ubuntu (this installation will also work on any Debian-based distribution):

Open a terminal window.
Issue the command sudo apt-get install postgresql.
Type the sudo password necessary to give you admin rights and hit Enter.
Allow apt to pick up any necessary dependencies.

	# train_grpo.py
	#
	# See https://github.com/willccbb/verifiers for ongoing developments
	#
	import re
	import torch
	from datasets import load_dataset, Dataset
	from transformers import AutoTokenizer, AutoModelForCausalLM
	from peft import LoraConfig
	from trl import GRPOConfig, GRPOTrainer

	# I was running spectaql to generate documentation for my GraphQL API and it complained about
	# directives that I had in my schema file. I threw errors including
	# - Unknown directive "@model".
	# - Unknown directive "@auth".
	# - Unknown directive "@index".
	# - Unknown directive "@hasOne".
	# These are all directives you would use when developing an Amplify app.
	#
	# Created this file to include as the first schemaFile in specaql.yml so that the graphql
	# parser is aware of the directives and can simply ignore them.

	# Demonstration: https://www.youtube.com/watch?v=5AvHrIK-Kjc&feature=youtu.be
	# rand_cmap from https://stackoverflow.com/questions/14720331/how-to-generate-random-colors-in-matplotlib

	import matplotlib.pyplot as plt
	import torch
	import torch.nn.functional as F
	from visualizations import rand_cmap

	W = H = 64
	img = torch.randn(W, H).to(device)

	const util = require('util')
	const mysql = require('mysql')
	const pool = mysql.createPool({
	connectionLimit: 10,
	host: 'localhost',
	user: 'root',
	password: 'password',
	database: 'my_database'
	})

	"""
	Lyle Scott, III // [email protected]

	Multiple ways to rotate a 2D point around the origin / a point.

	Timer benchmark results @ https://gist.github.com/LyleScott/d17e9d314fbe6fc29767d8c5c029c362
	"""
	from __future__ import print_function

	import math