mattdesl

import os
import torch
import time
from diffusers import DiffusionPipeline, AutoencoderTiny
from collections import namedtuple

PredictionResult = namedtuple('PredictionResult', [
    'latents',
    'step',
    'steps',

RandyGaul

#ifndef ROUTINE_H
#define ROUTINE_H

#include <stdint.h>

// A portable "coroutine"-like thing for implementing FSM and behavior-cycles.
// 
// Original implementation by Noel Berry.
// See: https://gist.github.com/NoelFB/7a5fa66fc29dd7ed1c11042c30f1b00e
//

AjkayAlan

Setting Up WSL

Install A Distro:

1. Run the following in powershell as admin Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Windows-Subsystem-Linux

2. Install a distro (ex: Ubuntu 18.04 LTS - https://www.microsoft.com/store/apps/9N9TNGVNDL3Q)

3. Open your distro you installed via the start menu, let it setup

4. Update and upgrade

sudo apt-get update

bodil

///<reference path="dts/tween.js.d.ts" />
///<amd-dependency path="tween" />

import b = require("./bacon");
import graph = require("./graph");
import ev = require("./events");

module TweenEffects {

  var Tween = require("tween.js").Tween;

pixelhandler

/*
  DS.attr('object')
*/
App.ObjectTransform = DS.Transform.extend({
  deserialize: function(value) {
    if (!$.isPlainObject(value)) {
      return {};
    } else {
      return value;
    }

noahhendrix

module Todo
  class API < Grape::API
    use Rack::Session::Cookie
    version 'v1', :format => :json
    
    helpers do
      def current_user
        return nil if env['rack.session'][:user_id].nil?
        @current_user ||= User.get(env['rack.session'][:user_id])
      end