AntonioJuliano

pragma solidity 0.4.19;

import { SafeMath } from "zeppelin-solidity/contracts/math/SafeMath.sol";
import { ERC20 } from "zeppelin-solidity/contracts/token/ERC20/ERC20.sol";
import { Exchange } from "../shared/Exchange.sol";
import { Proxy } from "../shared/Proxy.sol";
import { MathHelpers } from "../lib/MathHelpers.sol";

/**
 * @title CoveredOption

dabit3

// SPDX-License-Identifier: MIT OR Apache-2.0
pragma solidity ^0.8.4;

import "@openzeppelin/contracts/utils/Counters.sol";
import "@openzeppelin/contracts/token/ERC721/extensions/ERC721URIStorage.sol";
import "@openzeppelin/contracts/security/ReentrancyGuard.sol";
import "@openzeppelin/contracts/token/ERC721/ERC721.sol";

contract NFT is ERC721URIStorage {
    using Counters for Counters.Counter;

monikkinom

#Source code with the blog post at http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/
import numpy as np
import random
from random import shuffle
import tensorflow as tf

# from tensorflow.models.rnn import rnn_cell
# from tensorflow.models.rnn import rnn

NUM_EXAMPLES = 10000

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

yaycode

Instachat

The Phoenix Framework was built with realtime communication as a first class priority. Using its built in socket handling and channels we can implement a basic, realtime chat application with little effort.

For this video we’re going to assume that you already have Elixir and Phoenix Setup. You will not need a database as the messages will not be persisted. This tutorial is taken pretty much directly from the Phoenix Documentation.

Setting up the app

To start let’s generate a standard phoenix application:

$> mix phoenix.new instachat

rajshah4

hussius

import tensorflow as tf
import numpy as np
import math
#import pandas as pd
#import sys

input = np.array([[2.0, 1.0, 1.0, 2.0],
                 [-2.0, 1.0, -1.0, 2.0],
                 [0.0, 1.0, 0.0, 2.0],
                 [0.0, -1.0, 0.0, -2.0],

kscottz

import os
import scipy.io.wavfile as wav
# install lame
# install bleeding edge scipy (needs new cython)
fname = 'XC135672-Red-winged\ Blackbird1301.mp3'
oname = 'temp.wav'
cmd = 'lame --decode {0} {1}'.format( fname,oname )
os.system(cmd)
data = wav.read(oname)
# your code goes here

alexle

# sms.py
# Sends sms message to any cell phone using gmail smtp gateway
# Written by Alex Le

import smtplib

# Use sms gateway provided by mobile carrier:
# at&t:     number@mms.att.net
# t-mobile: number@tmomail.net
# verizon:  number@vtext.com

defnull

mkdir heroku
cd heroku/
virtualenv --no-site-packages env
source env/bin/activate
pip install bottle gevent
pip freeze > requirements.txt

cat >app.py <<EOF
import bottle
import os