AlyShmahell

Keybase proof

I hereby claim:

• I am AlyShmahell on github.
• I am alyshmahell (https://keybase.io/alyshmahell) on keybase.
• I have a public key whose fingerprint is 32E1 E008 73DF 66D7 057C 25E6 657B 9B80 54B5 8616

To claim this, I am signing this object:

AlyShmahell

import tensorflow as tf
def conv1d(input_, output_size, width, stride):
    '''
    :param input_: A tensor of embedded tokens with shape [batch_size,max_length,embedding_size]
    :param output_size: The number of feature maps we'd like to calculate
    :param width: The filter width
    :param stride: The stride
    :return: A tensor of the concolved input with shape [batch_size,max_length,output_size]
    '''
    inputSize = input_.get_shape()[-1] # How many channels on the input (The size of our embedding for instance)

AlyShmahell

import tensorflow as tf
import numpy as np
import uuid

x = tf.placeholder(shape=[None, 3], dtype=tf.float32)
nn = tf.layers.dense(x, 3, activation=tf.nn.sigmoid)
nn = tf.layers.dense(nn, 5, activation=tf.nn.sigmoid)
encoded = tf.layers.dense(nn, 2, activation=tf.nn.sigmoid)
nn = tf.layers.dense(encoded, 5, activation=tf.nn.sigmoid)
nn = tf.layers.dense(nn, 3, activation=tf.nn.sigmoid)

AlyShmahell

from __future__ import print_function, division
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt

num_epochs = 100
total_series_length = 50000
truncated_backprop_length = 15
state_size = 4
num_classes = 2

AlyShmahell

"""Short and sweet LSTM implementation in Tensorflow.

Motivation:
When Tensorflow was released, adding RNNs was a bit of a hack - it required
building separate graphs for every number of timesteps and was a bit obscure
to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`.
Currently the APIs are decent, but all the tutorials that I am aware of are not
making the best use of the new APIs.

Advantages of this implementation:

AlyShmahell

"""
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)

AlyShmahell

Task	Time required	Assigned to	Current Status	Finished
Calendar Cache	> 5 hours	@georgehrke	in progress	- [x] ok?
Object Cache	> 5 hours	@georgehrke	in progress	[x] item1 [ ] item2
Object Cache	> 5 hours	@georgehrke	in progress	- [x] item2
Object Cache	> 5 hours	@georgehrke	in progress	item1 item2

• works
• works too

AlyShmahell

\documentclass{standalone}

%% for compilation with htlatex (to produce svg image),
%% uncomment the line below:
% \def\pgfsysdriver{pgfsys-tex4ht.def}

\usepackage{tikz}

\tikzstyle{tensor}=[rectangle,draw=blue!50,fill=blue!20,thick]

AlyShmahell

How to write good Pseudocode

This is an unfinished list of remarks on how to write good pseudocode.

What is pseudocode?

Pseudocode is a loosely defined way of transmitting the concept of an algorithm from a writer to a reader. Central is the efficiency of this communication, not the interpretability of the code by an automated program (e.g., a parser).

AlyShmahell

#include <Python.h>
#include <numpy/arrayobject.h>
#include "chi2.h"

/* Docstrings */
static char module_docstring[] =
    "This module provides an interface for calculating chi-squared using C.";
static char chi2_docstring[] =
    "Calculate the chi-squared of some data given a model.";