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Andrea Parker andreajparker

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@ttscoff
ttscoff / gen_random_filename.bash
Created June 9, 2014 15:39
Generate random filenames using an adjective and a noun from the WordNet dictionaries
# Bash function gen_random_filename
# Description: Generates random file names
# Requires shuf (brew install coreutils)
# Requires a list of adjectives and nouns (1 per line)
gen_random_filename() {
local adjs=~/words/adjectives.txt
local nouns=~/words/nouns.txt
local adj noun title starts_with_1 starts_with_2 counter
@haggen
haggen / apple-crayon.scss
Last active February 9, 2025 10:09
Apple Crayon Palette RGB values in SASS
// Apple Crayon Palette RGB
$cantaloupe: rgb(255, 206, 110);
$honeydew: rgb(206, 250, 110);
$spindrift: rgb(104, 251, 208);
$sky: rgb(106, 207, 255);
$lavender: rgb(210, 120, 255);
$carnation: rgb(255, 127, 211);
$licorice: rgb(0, 0, 0);
$snow: rgb(255, 255, 255);
@bsweger
bsweger / useful_pandas_snippets.md
Last active April 4, 2025 21:20
Useful Pandas Snippets

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

@iamralch
iamralch / sshtunnel.go
Last active August 21, 2024 05:15
SSH tunnelling in Golang
package main
import (
"log"
"bufio"
"time"
"os"
"fmt"
"io"
"net"
@baraldilorenzo
baraldilorenzo / readme.md
Last active January 14, 2025 11:07
VGG-16 pre-trained model for Keras

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

@patpohler
patpohler / Big List of Real Estate APIs.md
Last active May 6, 2025 05:07
Evolving list of Real Estate APIs by Category

Big List of Real Estate APIs

Listings / Property Data

####Rets Rabbit http://www.retsrabbit.com

Rets Rabbit removes the nightmare of importing thousands of real estate listings and photos from RETS or ListHub and gives you an easy to use import and Web API server so you can focus on building your listing search powered website or app.

@bijij
bijij / viewimage.user.js
Last active May 1, 2025 18:09
Userscript version of the View Image chrome extension
// ==UserScript==
// @name View Image
// @namespace https://github.com/bijij/ViewImage
// @version 4.1.1
// @description This userscript re-implements the "View Image" and "Search by image" buttons into google images.
// @author Joshua B
// @run-at document-end
// @include http*://*.google.tld/search*tbm=isch*
// @include http*://*.google.tld/imgres*
// @updateURL https://gist.githubusercontent.com/bijij/58cc8cfc859331e4cf80210528a7b255/raw/viewimage.user.js
@tamuhey
tamuhey / tokenizations_post.md
Last active July 27, 2024 14:46
How to calculate the alignment between BERT and spaCy tokens effectively and robustly

How to calculate the alignment between BERT and spaCy tokens effectively and robustly

image

site: https://tamuhey.github.io/tokenizations/

Natural Language Processing (NLP) has made great progress in recent years because of neural networks, which allows us to solve various tasks with end-to-end architecture. However, many NLP systems still require language-specific pre- and post-processing, especially in tokenizations. In this article, I describe an algorithm that simplifies calculating correspondence between tokens (e.g. BERT vs. spaCy), one such process. And I introduce Python and Rust libraries that implement this algorithm. Here are the library and the demo site links:

@shawwn
shawwn / What happens when you allocate a JAX tensor on a TPU.md
Last active April 15, 2023 04:11
JAX C++ stack trace walkthrough for TpuExecutor_Allocate
@veekaybee
veekaybee / normcore-llm.md
Last active May 6, 2025 20:15
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