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Paul DeVos pauldevos

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@veekaybee
veekaybee / normcore-llm.md
Last active October 22, 2025 08:37
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

Screenshot 2023-12-18 at 10 40 27 PM

Pre-Transformer Models

@dharmatech
dharmatech / net-liquidity.md
Last active January 10, 2025 22:45
@takemikami
takemikami / README.md
Last active July 1, 2022 13:08
terraform for mwaa
@dannguyen
dannguyen / fetch_ghstars.md
Last active August 27, 2025 01:44
fetch_ghstars.py: quick CLI script to fetch from Github API all of a user's starred repos and save it as raw JSON and wrangled CSV

fetch_ghstars.py: quick CLI script to fetch and collate from Github API all of a user's starred repos

  • Requires Python 3.6+
  • Creates a subdir 'ghstars-USERNAME' at the current working directory
  • the raw JSON of each page request is saved as: 01.json, 02.json 0n.json
  • A flattened, filtered CSV is also created: wrangled.csv

Example usage:

@teddyrendahl
teddyrendahl / travis.yml
Created June 27, 2019 06:11
Travis for basic CONDA installation and deployment
language: python
matrix:
# This will launch a separate build for each Python version you add
# Feel free to add extra environment variables as needed
include:
- python: 3.5
- python: 3.6
before_install:
@jonlabelle
jonlabelle / docker_compose_cheatsheet.md
Last active October 23, 2025 15:18
Docker Compose Cheatsheet
@903124
903124 / easy-RAPM.py
Created November 17, 2018 17:57
import numpy as np
from sklearn import linear_model
import pandas as pd
import requests
from sklearn.feature_extraction import DictVectorizer
team_id_list = ['1610612737','1610612738','1610612751','1610612766','1610612741','1610612739','1610612742','1610612743','1610612765','1610612744','1610612745','1610612754','1610612746','1610612747','1610612763','1610612748','1610612749','1610612750','1610612740','1610612752','1610612760','1610612753','1610612755','1610612756','1610612757','1610612758','1610612759','1610612761','1610612762','1610612764']
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}
@peterbe
peterbe / best-explain-analyze.py
Last active June 29, 2025 17:33
For blog post: https://www.peterbe.com/plog/best-explain-analyze.py
#!/usr/bin/env python3
import re
import os
import subprocess
import statistics
class NoQueryPlanOutput(Exception):
pass
@anvk
anvk / psql_useful_stat_queries.sql
Last active June 1, 2025 16:17
List of some useful Stat Queries for PSQL
--- PSQL queries which also duplicated from https://github.com/anvk/AwesomePSQLList/blob/master/README.md
--- some of them taken from https://www.slideshare.net/alexeylesovsky/deep-dive-into-postgresql-statistics-54594192
-- I'm not an expert in PSQL. Just a developer who is trying to accumulate useful stat queries which could potentially explain problems in your Postgres DB.
------------
-- Basics --
------------
-- Get indexes of tables
@binaryfunt
binaryfunt / jupyter_notebook_config.py
Last active April 29, 2022 11:15
Jupyter notebooks - clear output pre-save hook (for cleaner git diffs)
# This file has to be saved in your Jupyter config directory (found by running
# jupyter --config-dir
# but usually C:\Users\<username>\.jupyter\jupyter_notebook_config.py on Windows
def scrub_output_pre_save(model, **kwargs):
"""scrub output before saving notebooks"""
# only run on notebooks
if model['type'] != 'notebook':
return
# only run on nbformat v4