Beneboe

How to Setup Verified Commits

Quick guide on how to setup git signing. Information is aggregated from following sources:

• https://help.github.com/articles/signing-commits/
• https://help.github.com/articles/telling-git-about-your-signing-key/
• https://help.github.com/articles/generating-a-new-gpg-key/

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

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

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

erikbern

# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

tacaswell

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.

ethanwhite

import subprocess

process = subprocess.Popen(['git', 'rev-parse', 'HEAD'], shell=False, stdout=subprocess.PIPE)
git_head_hash = process.communicate()[0].strip()

kracekumar

Writing better python code

---

Swapping variables

Bad code

Eugeny

#!/usr/bin/python
# -*- coding: utf-8 -*-

import subprocess


__all__ = ["transform"]
__version__ = '0.3'
__author__ = 'Christoph Burgmer <cburgmer@ira.uka.de>'
__url__ = 'http://github.com/cburgmer/upsidedown'