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Jason Livesay runvnc

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@runvnc
runvnc / index.js
Last active Aug 28, 2017
requirebin sketch
View index.js
const post=require('easy-post-request');
const b64=require('base64-js');
const dasm=require('dasm').default;
window.domconsole = require('dom-console')
window.demo = domconsole()
demo.api.toggle()
var el = domconsole({ lineLength: 80 })
var api = el.api
document.body.appendChild(el)
@runvnc
runvnc / index.html
Created Dec 30, 2016
Lone Wolf Combat
View index.html
<div><label for="lwcs">Lone Wolf Combat Skill:</label>
<input name="lwcs">
<label for="lwep">Lone Wolf Endurance Points</label>
<input name="lwep">
</div>
<div>
<label for="opcs">Opponent Combat Skill:</label>
<input name="opcs">
View web-gpgpu-cluster
Combine something like turbo.js with a webrtc rpc swarm. Use rpc to pull out of task queue. So we can do GPGPU processing on web-based clusters in the browser.
Can just use public gists with 'gpgpucluster' at end of description. The use requirebin. Also use webtorrent/instant.io
for imagenet example. Need to break imagenet up into a ton of little torrents. Then make an example that maybe just
searches for certain classes like 'cat'. Example doesn't need to do actual machine learning, just store images in graphics memory
pull them out when they search. And send them back. Maybe just use a subset of imagenet so that multiple clients
can share the dataset and so work together to answer queries.
@runvnc
runvnc / test.js
Last active Nov 20, 2016
search imagenet gpgpucluster
View test.js
// search imagenet using web-gpu-cluster
View newmiddle.js
import cryptojs from 'crypto-js';
import Token from './models/token';
import User from './models/user';
import jwt from 'jsonwebtoken';
import dotenv from 'dotenv';
dotenv.load();
View link.js
View link.js
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