surprisetalk

// ==UserScript==
// @name         HackerNews GPT-Free Feed
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  Hides any Hacker News story with "GPT" in its title.
// @author       Taylor Troesh
// @include      https://news.ycombinator.com/*
// @grant        none
// ==/UserScript==

nythrox

// user: Either<string, { name: string, age: number }>
const user = doEither(function*() {
  // name: string
  const name = yield* Right("test")
  // age: number
  const age = Math.random() > 0.5 ? yield* Right(100) : yield* Left("oopsies")
  return {
     name,
     age
  }

louis030195

using System;
using System.Collections.Generic;
using System.Linq;

public class Value
{
    public double Data { get; set; }
    public double Gradient { get; set; }
    private Action _backward;
    private readonly List<Value> _prev;

louis030195

edit at

louis030195

	public static class Spatial
	{
		/// <summary>
		/// Return position above ground relatively from the prefab size
		/// Global position
		/// </summary>
		/// <param name="position"></param>
		/// <param name="prefabHeight">Prefab height needed in order to place well on top of ground</param>
		/// <param name="transform">Transform parent</param>
		/// <param name="layerMask">Layers to ignore</param>

louis030195

#!/bin/bash
python3 -m venv .my_super_env && # Yeah random name to avoid erasing local virtualenv
	source .my_super_env/bin/activate &&
	pip install -q pyyaml &&
	python3 -c "import yaml, json, sys
sys.stdout.write(yaml.dump(json.load(sys.stdin)))" \
	< $1 > $2 || true
# Remove the temporary venv in any case
rm -rf .my_super_env || true

jcward

1) Generate a private key and certificate signing request:

openssl genrsa -out ios_distribution.key 2048
openssl req -new -key ios_distribution.key -out ios_distribution.csr -subj '/emailAddress=me@example.com, CN=Example, C=US'

2) Upload CSR to apple at: https://developer.apple.com/account/ios/certificate/create
   - choose Production -> App Store and Ad Hoc

3) Download the resulting ios_distribution.cer, and convert it to .pem format:

tamas-molnar

alias kc='kubectl'
alias kclf='kubectl logs --tail=200  -f'
alias kcgs='kubectl get service -o wide'
alias kcgd='kubectl get deployment -o wide'
alias kcgp='kubectl get pod -o wide'
alias kcgn='kubectl get node -o wide'
alias kcdp='kubectl describe pod'
alias kcds='kubectl describe service'
alias kcdd='kubectl describe deployment'
alias kcdf='kubectl delete -f'

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

patriciogonzalezvivo

Please consider using http://lygia.xyz instead of copy/pasting this functions. It expand suport for voronoi, voronoise, fbm, noise, worley, noise, derivatives and much more, through simple file dependencies. Take a look to https://github.com/patriciogonzalezvivo/lygia/tree/main/generative

Generic 1,2,3 Noise

float rand(float n){return fract(sin(n) * 43758.5453123);}

float noise(float p){
	float fl = floor(p);
  float fc = fract(p);