akiross

dooglus

#! /usr/bin/env python

class Point(object):
    def __init__(self, _x, _y, _order = None): self.x, self.y, self.order = _x, _y, _order

    def calc(self, top, bottom, other_x):
        l = (top * inverse_mod(bottom)) % p
        x3 = (l * l - self.x - other_x) % p
        return Point(x3, (l * (self.x - x3) - self.y) % p)

meagtan

/*
 * The following is an implementation of the finite field GF(2^8) as bit vectors of length 8, where the nth bit represents the
 * coefficient of the nth power of the generator in each element, and the generator satisfies the minimal polynomial
 * x^8 + x^4 + x ^3 + x^2 + 1 in the prime field Z_2, in which addition is equivalent to XOR and multiplication to AND.
 * The elements of GF(2^8) thus represent polynomials of degree < 8 in the generator x. Addition in this field is simply 
 * bitwise XOR, but multiplication requires the elimination of powers of x <= 8.
 */

#include <stdio.h>
#include <stdint.h>

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

application2000

These commands are based on a askubuntu answer http://askubuntu.com/a/581497
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
ABSOLUTELY NO WARRANTY.

If you are still reading let's carry on with the code.

sudo apt-get update && \
sudo apt-get install build-essential software-properties-common -y && \
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \

kizbitz

#!/bin/bash

# Example for the Docker Hub V2 API
# Returns all images and tags associated with a Docker Hub organization account.
# Requires 'jq': https://stedolan.github.io/jq/

# set username, password, and organization
UNAME=""
UPASS=""
ORG=""

mp4096

# Batch convert all .ppt/.pptx files encountered in folder and all its subfolders
# The produced PDF files are stored in the invocation folder
#
# Adapted from http://stackoverflow.com/questions/16534292/basic-powershell-batch-convert-word-docx-to-pdf
# Thanks to MFT, takabanana, ComFreek
#
# If PowerShell exits with an error, check if unsigned scripts are allowed in your system.
# You can allow them by calling PowerShell as an Administrator and typing
# ```
# Set-ExecutionPolicy Unrestricted

dnephin

TEST_ONE=common-env-file
TEST_TWO=common-env-file
TEST_TREE=common-env-file
TEST_FOUR=common-env-file

dave-andersen

import tensorflow as tf
import numpy as np
import time

N=10000
K=4
MAX_ITERS = 1000

start = time.time()

karpathy

"""
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)