tacaswell

astrojuanlu

# IPython magic to check for PEP8 compliance.
# Author: Juan Luis Cano <juanlu001@gmail.com>

"""IPython magic to check for PEP8 compliance.

To use it, type

```%load_ext pep8magic```

and then

kastnerkyle

# Author: Kyle Kastner
# License: BSD 3-clause
# Thanks to Jose (@sotelo) for tons of guidance and debug help
# Credit also to Junyoung (@jych) and Shawn (@shawntan) for help/utility funcs
# Strangeness in init could be from onehots, via @igul222. Ty init for one hot layer as N(0, 1) just as in embedding
# since oh.dot(w) is basically an embedding
import os
import re
import tarfile
from collections import Counter

stefanedwards

######
# author: Stefan McKinnon Edwards <stefan.hoj-edwards@agrsci.dk>
# id: $Id: qsub1.py 25 2013-04-12 11:06:47Z sme $
# qsub-module;
# communicates with cluster-queueing system to retrieve information
# about the current job.
# The qsub commands do no exist on the nodes, so to retrieve the necessary information, 
# we ssh the host and request the information from `qstat`.
#
# To use this module from a script running on a computation cluster,

amueller

import numpy as np
import warnings

from itertools import cycle, izip

from sklearn.utils import gen_even_slices
from sklearn.utils import shuffle
from sklearn.base import BaseEstimator
from sklearn.base import ClassifierMixin
from sklearn.preprocessing import LabelBinarizer

mojavelinux

Digital Toolchain for Book Authors

Text markup and structure

• So many light markup formats to consider
  • Markdown
  • Textile
  • reStructuredText
  • Asciidoc
  • Most compile to HTML, PDF, DocBook
• Get handy with PanDoc (but man, the haskell bootstrapping is a pain)

gati

from sklearn.cross_validation import train_test_split
from keras.preprocessing import sequence, text
from keras.models import Sequential
from keras.layers import (Dense, Dropout, Activation, Embedding, LSTM,
                            Convolution1D, MaxPooling1D)

# Embedding
max_features = 20000
maxlen = 100
embedding_size = 32

knmkr

#How to use blast from command-line, on Mac OS X.

Install blast

Download executables (binary) of blast-commands for Mac OS X.

$ curl -O ftp://ftp.ncbi.nih.gov/blast/executables/blast+/2.2.28/ncbi-blast-2.2.28+.dmg
or
$ wget ftp://ftp.ncbi.nih.gov/blast/executables/blast+/2.2.28/ncbi-blast-2.2.28+.dmg

ikhlestov

import torch
from torch.autograd import Variable

# new way with `init` module
w = torch.Tensor(3, 5)
torch.nn.init.normal(w)
# work for Variables also
w2 = Variable(w)
torch.nn.init.normal(w2)
# old styled direct access to tensors data attribute

honnibal

"""A stripped-down MLP example, using Theano.

Based on the tutorial here: http://deeplearning.net/tutorial/mlp.html

This example trims away some complexities, and makes it easier to see how Theano works.

Design changes:

* Model compiled in a distinct function, so that symbolic variables are not in run-time scope.
* No classes. Network shown by chained function calls.