toby petty toby-p

## normcore-llm.md

      
              1 file
            
          
              218 forks
            
          
              38 comments
            
          
              2781 stars
            
          
                veekaybee
                / normcore-llm.md
            
            
              Last active
              July 21, 2024 13:28
            
              
                Normcore LLM Reads
              
          
    Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
Foundational Concepts


Pre-Transformer Models


## push_notifications_to_telegram.md

      
              1 file
            
          
              5 forks
            
          
              5 comments
            
          
              27 stars
            
          
                dlaptev
                / push_notifications_to_telegram.md
            
            
              Last active
              July 5, 2024 21:22
            
              
                Programmatically send push notifications to telegram from python
              
          
Create a new Telegram bot:

start a chat with BotFather;
type /newbot, select a name (to be shown in chats) and handle for your bot;
note the bot token to access HTTP API - a long string with a colon in the middle (later referred to as <token>);
optionally /setdescription and /setuserpic.


Add the bot to the chat/channel and note its id:

add the bot to a new or existing chat or group - this is where your bot will send notifications to;
go to https://api.telegram.org/bot<token>/getUpdates (replace <token> with your token);
within the chat part, find and note the id field - a positive or negative number (later referred to as <chat_id>).


Programmatically send notifications:


## extract_ILSVRC.sh
#!/bin/bash
#
# script to extract ImageNet dataset
# ILSVRC2012_img_train.tar (about 138 GB)
# ILSVRC2012_img_val.tar (about 6.3 GB)
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
#
#  https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
#
#  train/

## index.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="utf-8">
    {{ bokeh_css }}
    {{ bokeh_js }}
    <link rel="stylesheet" href="stocktext/static/css/styles.css"/>
  </head>
  <body>
  {{ plot_div|indent(8) }}

## s3_multipart_upload.py
import argparse
import os

import boto3


class S3MultipartUpload(object):
  # AWS throws EntityTooSmall error for parts smaller than 5 MB
  PART_MINIMUM = int(5e6)

## tmux-cheat-sheet.md

      
              1 file
            
          
              85 forks
            
          
              8 comments
            
          
              292 stars
            
          
                michaellihs
                / tmux-cheat-sheet.md
            
            
              Last active
              July 19, 2024 16:11
            
              
                tmux Cheat Sheet
              
          
    tmux Cheat Sheet

Table of Contents

General Usage
Shortcuts
Commands
Scripting tmux
Configuring tmux


## matplotlib.md

      
              1 file
            
          
              1 fork
            
          
              1 comment
            
          
              9 stars
            
          
                ax3l
                / matplotlib.md
            
            
              Last active
              October 11, 2019 00:07
            
              
                Matplotlib: Axes vs Axis vs Figure vs ...
              
          
    Overview:
http://matplotlib.org/faq/usage_faq.html#usage
Multiple, manual Axes:
https://python4mpia.github.io/plotting/advanced.html
Another intro article
http://pbpython.com/effective-matplotlib.html
Great Foo


## git_new_local_branch.md

      
              1 file
            
          
              25 forks
            
          
              13 comments
            
          
              74 stars
            
          
                nanusdad
                / git_new_local_branch.md
            
            
              Last active
              June 16, 2024 06:56
            
              
                Git - create new local branch push to GitHub
              
          
From - https://github.com/Kunena/Kunena-Forum/wiki/Create-a-new-branch-with-git-and-manage-branches

git checkout -b [name_of_your_new_branch]

Push the branch on github :

git push origin [name_of_your_new_branch]

When you want to commit something in your branch, be sure to be in your branch.


## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## connect_and_load.py
import pymssql
import pandas as pd

## instance a python db connection object- same form as psycopg2/python-mysql drivers also
conn = pymssql.connect(server="172.0.0.1", user="howens",password="some_fake_password", port=63642)  # You can lookup the port number inside SQL server.

## Hey Look, college data
stmt = "SELECT * FROM AlumniMirror..someTable"
# Excute Query here
df = pd.read_sql(stmt,conn)
	#!/bin/bash
	#
	# script to extract ImageNet dataset
	# ILSVRC2012_img_train.tar (about 138 GB)
	# ILSVRC2012_img_val.tar (about 6.3 GB)
	# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
	#
	# https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
	#
	# train/
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	{{ bokeh_css }}
	{{ bokeh_js }}
	<link rel="stylesheet" href="stocktext/static/css/styles.css"/>
	</head>
	<body>
	{{ plot_div\|indent(8) }}
	import argparse
	import os

	import boto3


	class S3MultipartUpload(object):
	# AWS throws EntityTooSmall error for parts smaller than 5 MB
	PART_MINIMUM = int(5e6)
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	import pymssql
	import pandas as pd

	## instance a python db connection object- same form as psycopg2/python-mysql drivers also
	conn = pymssql.connect(server="172.0.0.1", user="howens",password="some_fake_password", port=63642) # You can lookup the port number inside SQL server.

	## Hey Look, college data
	stmt = "SELECT * FROM AlumniMirror..someTable"
	# Excute Query here
	df = pd.read_sql(stmt,conn)