loretoparisi

wget https://dlcdn.apache.org//activemq/5.18.1/apache-activemq-5.18.1-bin.tar.gz
gunzip apache-activemq-5.18.1-bin.tar.gz
tar -xvf apache-activemq-5.18.1-bin.tar
cd apache-activemq-5.18.1
cd conf
myIP=$(LANG=C /sbin/ifconfig  | sed -ne $'/127.0.0.1/ ! { s/^[ \t]*inet[ \t]\\{1,99\\}\\(addr:\\)\\{0,1\\}\\([0-9.]*\\)[ \t\/].*$/\\2/p; }')
sed -i "s/localhost/${myIP}/" jetty.xml
cd ..
cd bin
./activemq start

loretoparisi

def longest_subsequence_linear(seq, keyfn=lambda value: value):
    ''' Longest Increasing Subsequence
    >>> seq = [0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5, 13, 3, 11, 7, 15]
    >>> lis(seq)
    [0, 2, 6, 9, 11, 15]
    >>> lis([])
    []
    '''
    if not seq: return seq

loretoparisi

/**
 * Wavesurfer.js  minimalistic example with
 * regions loading, save, plugins, waveform loading from json, waveform zoom, player events, keyboard codes, auto play
 * @author: Loreto Parisi (loretoparisi at gmail dot com) - mainly, some code and functions adpated from Wavesurfer examples
 * @disclaimer: code adapted from online examples
 */
 
 
// JavaScript
// Wrap the native DOM audio element play function and handle any autoplay errors

lmmx

conda create -n diffusers
conda activate diffusers
conda install -y pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge
pip install diffusers transformers piexif

OUTDATED For hf_stablediffusion_img2img.py download https://github.com/huggingface/diffusers/blob/main/examples/inference/image_to_image.py (edit: this has been deprecated)

For hf_stablediffusion_inpaint.py run pip install git+https://github.com/huggingface/diffusers.git (not yet been released). At time of writing the DDIM scheduler worked, the default PNDM one did not.

gante

from diffusers import StableDiffusionPipeline
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
from torch import autocast

PT_PROMPT = "Um gato com um chapéu, pintura a aguarelas"  # A cat with a hat, watercolor painting

# translation PT -> EN
transl_model_id = "Narrativa/mbart-large-50-finetuned-opus-pt-en-translation"
tokenizer = AutoTokenizer.from_pretrained(transl_model_id)
text_model = AutoModelForSeq2SeqLM.from_pretrained(transl_model_id)

karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

philschmid

from sagemaker.huggingface.model import HuggingFaceModel
from sagemaker.serverless import ServerlessInferenceConfig
from sagemaker.serializers import DataSerializer
import sagemaker
import boto3

try:
    role = sagemaker.get_execution_role()
except ValueError:
    iam = boto3.client('iam')

loretoparisi

/* Add the seed attribute and set it to a random integer in <feTurbulence> to create your own variant! */
html,
body,
object {
  height: 100%;
  width: 100%;
  margin: 0px;
  padding: 0px;
}
div {

loretoparisi

var fs = require("fs"),
  path = require("path"),
  util = require("util"),
  Stream = require("stream").Stream;

module.exports = resumable = function (temporaryFolder) {
  var $ = this;
  $.temporaryFolder = temporaryFolder;
  $.maxFileSize = null;
  $.fileParameterName = "file";

loretoparisi

[{
	"language": "English",
	"language_local": "English",
	"wiki": "en",
	"articles": "6,393,265",
	"totals": "1,044,989,942",
	"edits": "1,077",
	"admins": "42,366,457",
	"users": "125,915",
	"active_users": "895,061"