valryon

using UnityEngine;
using System.Collections;
using System.Collections.Generic;

/// <summary>
/// 
/// </summary>
/// <remarks>Source: https://forum.unity3d.com/threads/trying-extrude-a-2d-polygon-to-create-a-mesh.102629/ </remarks>
[RequireComponent(typeof(MeshFilter), typeof(MeshRenderer), typeof(PolygonCollider2D))]
public class ExtrudeSprite : MonoBehaviour

emrahgunduz

// (c) 2016 Markakod

#include "HitMe.h"
#include "WebImageDownloader.h"

UWebImageDownloader* UWebImageDownloader::GetWebImageDownloader(FString WebImageName, FString URL, bool& IsValid)
{
	IsValid = false;

	UWebImageDownloader *Object = NewObject<UWebImageDownloader>();

michidk

// An outline shader made for Unity with the help of @OverlandGame by @miichidk
// It adjusts the size of the outline to automatically accomodate screen width and camera distance.
// See how it looks here: https://twitter.com/OverlandGame/status/791035637583388672
// How to use: Create a material which uses this shader, and apply this material to any meshrenderer as second material.
Shader "OutlineShader" 
{
	Properties 
	{
		_Width ("Width", Float ) = 1
		_Color ("Color", Color) = (1,1,1,1)

mandarinx

using UnityEditor;
using UnityEngine;

[CustomEditor(typeof(MeshFilter))]
public class NormalsVisualizer : Editor {

    private const string     EDITOR_PREF_KEY = "_normals_length";
    private       Mesh       mesh;
    private       MeshFilter mf;
    private       Vector3[]  verts;

th3d0g

using UnityEngine;
using UnityEditor;
using UnityEditor.Callbacks;
using System.Collections;
#if UNITY_IOS
using UnityEditor.iOS.Xcode;
#endif
using System.IO;

// PListiOS - Edit the PList file.

calvin-brizzi

# Requires astropy ("pip install astropy")
# Creates HUGE files 42MB > 430MB in my test

from astropy.io import fits
import json

# Change to your fits file
hdulist = fits.open("in.fits")

# My fits file only had one data cube in it

phosphoer

// The MIT License (MIT)
// Copyright (c) 2016 David Evans @phosphoer

// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR

mattvr

/*
MIT License

Copyright (c) 2016 Matt Favero

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

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

bayesian_neural_network.ipynb