Akash Jadhav gambitier

Convert GIF files to WebP and WebM format to save space when archiving

In the following post I want to share something for users who have tons of GIFs and want to store or archive the information in a more space-saving way.

Disclaimer: I do not take responsibility for any damages to or losses of your files.

Do you also have dozens of GIF files and ever wondered why a little bit blinking or a movement of few seconds needs several MB storage? If it is your own content, you need them in original state or anything similar, you can stop reading any further.

GIF files have been invented a very long time ago (you remember 1987?) and weren't meant to be used for displaying an anime or short movie clip and the like. Therefore the format and compression (is no longer) isn't efficient enough.

VSCode - ESLint, Prettier & Airbnb Setup

1. Install ESLint & Prettier extensions for VSCode

Optional - Set format on save and any global prettier options

2. Install Packages

npm i -D eslint prettier eslint-plugin-prettier eslint-config-prettier eslint-plugin-node eslint-config-node

R libraries for recommender systems

A list of R libraries for Recommender systems. Most of the libraries are good for quick prototyping.

Maintainer: Srikanth KS(talegari) Email: gmail me at sri dot teach (do write to me about packages ommited)

Package	Dev page	Description
recommenderlab	github	Provides a research infrastructure to test and develop recommender algorithms including UBCF, IBCF, FunkSVD and association rule-based algorithms
rrecsys	github	Implementations of several popular recommendation systems like Global/Item/User-Average baselines, Item-Based KNN, FunkSVD, BPR and weighted ALS for rapid prototyping

	# ==================================================================================================
	#
	# NOTICE
	#
	# This gist is no longer maintained. It was moved to repo:
	#
	# https://github.com/maratori/golangci-lint-config
	#
	# Full history and all v2 releases are preserved in the repo.
	#

	"""Another way, note this one will load the whole array into memory ."""
	from keras.preprocessing.image import ImageDataGenerator
	import h5py
	from keras.utils.io_utils import HDF5Matrix
	seed=0
	batch_size=32

	# we create two instances with the same arguments
	data_gen_args = dict(
	rotation_range=90.,

	const AWS = require('aws-sdk');
	const fs = require('fs')

	const s3download = (bucketName, keyName, localDest) => {

	if (typeof localDest == 'undefined') {
	localDest = keyName;
	}

	let params = {

	{
	"Africa/Abidjan": "+00:00",
	"Africa/Accra": "+00:00",
	"Africa/Addis_Ababa": "+03:00",
	"Africa/Algiers": "+01:00",
	"Africa/Asmara": "+03:00",
	"Africa/Asmera": "+03:00",
	"Africa/Bamako": "+00:00",
	"Africa/Bangui": "+01:00",
	"Africa/Banjul": "+00:00",

	-- Remove the history from
	rm -rf .git

	-- recreate the repos from the current content only
	git init
	git add .
	git commit -m "Initial commit"

	-- push to the github remote repos ensuring you overwrite history
	git remote add origin [email protected]:<YOUR ACCOUNT>/<YOUR REPOS>.git