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@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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
/**
* Base contract that all upgradeable contracts should use.
*
* Contracts implementing this interface are all called using delegatecall from
* a dispatcher. As a result, the _sizes and _dest variables are shared with the
* dispatcher contract, which allows the called contract to update these at will.
*
* _sizes is a map of function signatures to return value sizes. Due to EVM
* limitations, these need to be populated by the target contract, so the
* dispatcher knows how many bytes of data to return from called functions.
@southbite
southbite / gist:cc7802f76a6affbfc0b590a31e31d03f
Last active May 30, 2018 05:49
set IPFS up as a service in ubuntu 14.04

create the file /etc/init/ipfs.conf, with the following contents:

description "ipfs-daemon"
author      "Joe Bloggs"

start on started mountall
stop on shutdown

# automatically respawn
@dcollien
dcollien / ImageTools.es6
Last active July 3, 2025 21:23
Resize Images in the Browser
let hasBlobConstructor = typeof(Blob) !== 'undefined' && (function () {
try {
return Boolean(new Blob());
} catch (e) {
return false;
}
}());
let hasArrayBufferViewSupport = hasBlobConstructor && typeof(Uint8Array) !== 'undefined' && (function () {
try {
@karpathy
karpathy / min-char-rnn.py
Last active March 5, 2026 03:44
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@steve-ng
steve-ng / nginx.conf
Last active May 28, 2024 08:27
Nginx reverse proxy wss with ssl
server {
listen 443 ssl;
server_name xxx.xx.io
ssl on;
ssl_certificate /etc/asterisk/certs/xxx.io.pem;
ssl_certificate_key /etc/asterisk/certs/xxx.io.key;
ssl_session_timeout 5m;
@eric-zhu
eric-zhu / word_break_II
Created November 1, 2013 11:59
Word Break II Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each word is a valid dictionary word. Return all such possible sentences. For example, given s = "catsanddog", dict = ["cat", "cats", "and", "sand", "dog"]. A solution is ["cats and dog", "cat sand dog"].
public class Solution {
public ArrayList<String> wordBreak(String s, Set<String> dict) {
ArrayList<String> sentences = new ArrayList<String>();
if (s == null || dict == null) return sentences;
wordBreak(s, dict, "", sentences);
return sentences;
}
private void wordBreak(String s, Set<String> dict, String sentence, ArrayList<String> sentences) {
@cobyism
cobyism / gh-pages-deploy.md
Last active February 17, 2026 22:18
Deploy to `gh-pages` from a `dist` folder on the master branch. Useful for use with [yeoman](http://yeoman.io).

Deploying a subfolder to GitHub Pages

Sometimes you want to have a subdirectory on the master branch be the root directory of a repository’s gh-pages branch. This is useful for things like sites developed with Yeoman, or if you have a Jekyll site contained in the master branch alongside the rest of your code.

For the sake of this example, let’s pretend the subfolder containing your site is named dist.

Step 1

Remove the dist directory from the project’s .gitignore file (it’s ignored by default by Yeoman).

@Artod
Artod / jquery.unserialize.js
Created April 11, 2012 14:20 — forked from rcmachado/jquery.unserialize.js
$.unserialize for jQuery
/**
* $.unserialize
*
* Takes a string in format "param1=value1&param2=value2" and returns an object { param1: 'value1', param2: 'value2' }. If the "param1" ends with "[]" the param is treated as an array.
*
* Example:
*
* Input: param1=value1&param2=value2
* Return: { param1 : value1, param2: value2 }
*