Josh Murr joshmurr

## twilight_matplotlib.py
## From: https://www.reddit.com/r/generative/comments/1imyi7b/comment/mc6vx7c/
#!/usr/bin/env python3
# coding: utf-8

import matplotlib.pyplot as plt
import numpy as np

def main():
    X, Y = np.meshgrid(
        np.linspace(-1, 1, 500),

## myAngular.html
<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>My Angular from Scratch</title>
    <style>
        .my-component {
            font-family: Arial, sans-serif;

## all-lein-templates.txt
      1 acorn: A Leiningen template for a ClojureScript setup with Figwheel, Austin, Om.
      8 amp: Leiningen template for AMP (Alfresco Module Package) projects.
      1 angular-cl2: A Leiningen template for using AngularJS and ChlorineJS
      1 angular: Clojure and AngularJS in perfect harmony.
      6 angular: Clojure and AngularJS in perfect harmony. $ lein new angular <name>
      2 angularjs-app: Leiningen template for web application with http-kit and angularjs
      5 angular-simple: Clojure and AngularJS $ lein new angular-simple <name>
      1 aperiodic-cljs: My cljs development starting point. Basically ripped from lein-cljsbuild.
      1 apijr: clojurescript project template
      1 appfgo: 'lein new' template for Funcgo application

## zozuar-cloud.glsl
// Commented version of https://twitter.com/zozuar/status/1441384708441456651
// Google-translated (with some editing) from @gam0022's version

float i, // Ray marching loop counter
e, // Volume density (the smaller the value, the higher the density)
s, // FBM scale (and loop counter)
g, // Ray's distance (also used for tunnel twirl and camera prespective)
k = .01; // Handy constant

// Ray marching loop

## Drawing_App.py
#@title <font color='red'>Drawing APP</font> {vertical-output: true, run: "auto"}

import ipywidgets as widgets
from ipywidgets import Layout, Button, Box
from IPython.display import display, HTML, Image
from google.colab.output import eval_js
from base64 import b64decode

Square_Size = 256 #@param ["256", "512"] {type:"raw"}
Brush_Size = 30 #@param {type:"slider", min:0, max:100, step:5}

## clustering.py
import torch as th

"""
Author: Josue N Rivera (github.com/wzjoriv)
Date: 7/3/2021
Description: Snippet of various clustering implementations only using PyTorch
Full project repository: https://github.com/wzjoriv/Lign (A graph deep learning framework that works alongside PyTorch)
"""

def random_sample(tensor, k):

## ubo-tutorial.html
<!--
Go to Line 153 for the start of Uniform Buffer Object related code and intro

Prerequsite:

You at least know what uniforms are in the context of WebGL
and mininally understand the concepts involved in creating a square in WebGL
-->

<html>

## Next Js _document.js
import Document, { Html, Head, Main, NextScript } from "next/document"
import { ServerStyleSheet, createGlobalStyle } from "styled-components"
const GlobalStyle = createGlobalStyle`
  body {
  padding: 0;
  margin: 0;
}
`
class MyDocument extends Document {
  static async getInitialProps(ctx) {

## media_preview.lua
local utils = require('telescope.utils')
local defaulter = utils.make_default_callable
local actions = require('telescope.actions')
local finders = require('telescope.finders')
local make_entry = require('telescope.make_entry')
local pickers = require('telescope.pickers')
local previewers = require('telescope.previewers')
local builtin = require('telescope.builtin')
local conf = require('telescope.config').values
local flatten = vim.tbl_flatten

## README.md

      
        
          
            
              
              1 file
            
          
          
            
              
              3 forks
            
          
            
              
                
                18 comments
              
            
          
            
              
              53 stars
            
          
        
        
          
              
          
          
            
                skeeto
                / README.md
            
            
              Last active
              September 23, 2024 02:16
            
              
                AI driving simulation
              
          
        
      
        
  
      
    Moved to skeeto/scratch/aidrivers
	## From: https://www.reddit.com/r/generative/comments/1imyi7b/comment/mc6vx7c/
	#!/usr/bin/env python3
	# coding: utf-8

	import matplotlib.pyplot as plt
	import numpy as np

	def main():
	X, Y = np.meshgrid(
	np.linspace(-1, 1, 500),
	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>My Angular from Scratch</title>
	<style>
	.my-component {
	font-family: Arial, sans-serif;
	1 acorn: A Leiningen template for a ClojureScript setup with Figwheel, Austin, Om.
	8 amp: Leiningen template for AMP (Alfresco Module Package) projects.
	1 angular-cl2: A Leiningen template for using AngularJS and ChlorineJS
	1 angular: Clojure and AngularJS in perfect harmony.
	6 angular: Clojure and AngularJS in perfect harmony. $ lein new angular <name>
	2 angularjs-app: Leiningen template for web application with http-kit and angularjs
	5 angular-simple: Clojure and AngularJS $ lein new angular-simple <name>
	1 aperiodic-cljs: My cljs development starting point. Basically ripped from lein-cljsbuild.
	1 apijr: clojurescript project template
	1 appfgo: 'lein new' template for Funcgo application
	// Commented version of https://twitter.com/zozuar/status/1441384708441456651
	// Google-translated (with some editing) from @gam0022's version

	float i, // Ray marching loop counter
	e, // Volume density (the smaller the value, the higher the density)
	s, // FBM scale (and loop counter)
	g, // Ray's distance (also used for tunnel twirl and camera prespective)
	k = .01; // Handy constant

	// Ray marching loop
	#@title <font color='red'>Drawing APP</font> {vertical-output: true, run: "auto"}

	import ipywidgets as widgets
	from ipywidgets import Layout, Button, Box
	from IPython.display import display, HTML, Image
	from google.colab.output import eval_js
	from base64 import b64decode

	Square_Size = 256 #@param ["256", "512"] {type:"raw"}
	Brush_Size = 30 #@param {type:"slider", min:0, max:100, step:5}
	import torch as th

	"""
	Author: Josue N Rivera (github.com/wzjoriv)
	Date: 7/3/2021
	Description: Snippet of various clustering implementations only using PyTorch
	Full project repository: https://github.com/wzjoriv/Lign (A graph deep learning framework that works alongside PyTorch)
	"""

	def random_sample(tensor, k):
	<!--
	Go to Line 153 for the start of Uniform Buffer Object related code and intro

	Prerequsite:

	You at least know what uniforms are in the context of WebGL
	and mininally understand the concepts involved in creating a square in WebGL
	-->

	<html>
	import Document, { Html, Head, Main, NextScript } from "next/document"
	import { ServerStyleSheet, createGlobalStyle } from "styled-components"
	const GlobalStyle = createGlobalStyle`
	body {
	padding: 0;
	margin: 0;
	}
	`
	class MyDocument extends Document {
	static async getInitialProps(ctx) {
	local utils = require('telescope.utils')
	local defaulter = utils.make_default_callable
	local actions = require('telescope.actions')
	local finders = require('telescope.finders')
	local make_entry = require('telescope.make_entry')
	local pickers = require('telescope.pickers')
	local previewers = require('telescope.previewers')
	local builtin = require('telescope.builtin')
	local conf = require('telescope.config').values
	local flatten = vim.tbl_flatten