fedden

import numpy as np
import matplotlib.pyplot as plt

modulator_frequency = 4.0
carrier_frequency = 40.0
modulation_index = 1.0

time = np.arange(44100.0) / 44100.0
modulator = np.sin(2.0 * np.pi * modulator_frequency * time) * modulation_index
carrier = np.sin(2.0 * np.pi * carrier_frequency * time)

teamdandelion

7
2
1
0
4
1
4
9
5
9

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)

Lucretiel

from tkinter import *
import asyncio
from functools import wraps
import websockets

def runloop(func):
    '''
    This decorator converts a coroutine into a function which, when called,
    runs the underlying coroutine to completion in the asyncio event loop.
    '''

karpathy

"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:
  
  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

benjaoming

"""
This code is public domain.
The original author is Bear Huang (http://bear330.wordpress.com/).
Uploaded to GIST and adapted for autopep8 by github/benjaoming
"""

# Guide for installing a code formatter (like this one) in PyDev:
# http://bear330.wordpress.com/2007/10/30/using-pythontidy-in-pydev-as-code-formatter/

# Ensure that your autopep8.py is executable (chmod +x).

jineeshjohn

<script type="text/javascript" src="js/jquery-1.7.1.min.js"></script>
<style>
	table{
		width:500px;
		height:500px;
	}
	table td{
		padding:10px;
		margin:10px;
		border:1px solid #ccc;