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@fchollet
fchollet / classifier_from_little_data_script_1.py
Last active February 26, 2025 01:37
Updated to the Keras 2.0 API.
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats
from keras.models import Sequential
from keras.layers import Dense
from keras.utils.io_utils import HDF5Matrix
import numpy as np
def create_dataset():
import h5py
X = np.random.randn(200,10).astype('float32')
y = np.random.randint(0, 2, size=(200,1))
f = h5py.File('test.h5', 'w')
@marcelstoer
marcelstoer / debounce-with-tmr.lua
Last active December 7, 2019 06:05
NodeMCU debounce based on timer with GPIO pullup
-- inspired by https://github.com/hackhitchin/esp8266-co-uk/blob/master/tutorials/introduction-to-gpio-api.md
-- and http://www.esp8266.com/viewtopic.php?f=24&t=4833&start=5#p29127
local pin = 4 --> GPIO2
function debounce (func)
local last = 0
local delay = 50000 -- 50ms * 1000 as tmr.now() has μs resolution
return function (...)
local now = tmr.now()
@superjamie
superjamie / raspberry-pi-vpn-router.md
Last active October 6, 2025 20:22
Raspberry Pi VPN Router

Raspberry Pi VPN Router

This is a quick-and-dirty guide to setting up a Raspberry Pi as a "router on a stick" to PrivateInternetAccess VPN.

Requirements

Install Raspbian Jessie (2016-05-27-raspbian-jessie.img) to your Pi's sdcard.

Use the Raspberry Pi Configuration tool or sudo raspi-config to:

@Remiii
Remiii / README.md
Last active May 26, 2025 00:46
How to delete Vault (AWS Glacier) 🗻

How to delete Vault (AWS Glacier)

This Gist give some tips in order to remove AWS Glacier Vault with AWS CLI (ie. https://aws.amazon.com/en/cli/).

Step 1 / Retrive inventory

$ aws glacier initiate-job --job-parameters '{"Type": "inventory-retrieval"}' --vault-name YOUR_VAULT_NAME --account-id YOUR_ACCOUNT_ID --region YOUR_REGION
@Newmu
Newmu / adam.py
Last active October 19, 2024 08:20
Adam Optimizer
"""
The MIT License (MIT)
Copyright (c) 2015 Alec Radford
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
@cancan101
cancan101 / perspective-quadrilateral.ipynb
Created May 1, 2014 23:48
Automatic perspective correction for quadrilateral objects
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@ndarville
ndarville / webm.md
Last active March 11, 2025 17:21
4chan’s guide to converting GIF to WebM - https://boards.4chan.org/g/res/41212767

Grab ffmpeg from https://www.ffmpeg.org/download.html

It's a command line tool which means you will have to type things with your keyboard instead of clicking on buttons.

The most trivial operation would be converting gifs:

ffmpeg -i your_gif.gif -c:v libvpx -crf 12 -b:v 500K output.webm
  • -crf values can go from 4 to 63. Lower values mean better quality.
  • -b:v is the maximum allowed bitrate. Higher means better quality.
@didats
didats / nationality.html
Created December 28, 2013 00:00
Nationality List in HTML Dropdown
<select name="nationality">
<option value="">-- select one --</option>
<option value="afghan">Afghan</option>
<option value="albanian">Albanian</option>
<option value="algerian">Algerian</option>
<option value="american">American</option>
<option value="andorran">Andorran</option>
<option value="angolan">Angolan</option>
<option value="antiguans">Antiguans</option>
<option value="argentinean">Argentinean</option>
@PaulKinlan
PaulKinlan / criticalcss-bookmarklet-devtool-snippet.js
Last active March 12, 2025 01:22
CriticalCSS Bookmarklet and Devtool Snippet.js
(function() {
var CSSCriticalPath = function(w, d, opts) {
var opt = opts || {};
var css = {};
var pushCSS = function(r) {
if(!!css[r.selectorText] === false) css[r.selectorText] = {};
var styles = r.style.cssText.split(/;(?![A-Za-z0-9])/);
for(var i = 0; i < styles.length; i++) {
if(!!styles[i] === false) continue;
var pair = styles[i].split(": ");