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"""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. |
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"""See https://twitter.com/honnibal/status/1120020992636661767 """ | |
import time | |
import srsly | |
from prodigy import recipe | |
from prodigy.components.db import connect | |
from prodigy.util import INPUT_HASH_ATTR, set_hashes | |
from prodigy.components.filters import filter_duplicates | |
def get_rank_priority(data): |
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#!/usr/bin/env bash | |
# First download cudnn to a directory /tmp/binaries. | |
# The filename should be cudnn-9.2-linux-x64-v7.1.tgz | |
set -e | |
# Install driver | |
sudo add-apt-repository ppa:graphics-drivers/ppa | |
sudo apt-get update |
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def cycle_hyper_param(low, high): | |
'''Dynamically oscillate a hyper-parameter between two values. | |
Uses the loss momentum to adjust the rate of change. The idea is | |
that the value should move through regions where the loss is flat | |
faster, and linger in values where the loss improves. | |
''' | |
inc = 0.0001 | |
trend = 0. | |
prev = 0. |
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from __future__ import unicode_literals | |
from __future__ import print_function | |
import sys | |
import plac | |
import bz2 | |
import ujson | |
import spacy.en | |
def main(input_loc): |
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#!/usr/bin/env bash | |
HERE=`pwd` | |
cd /tmp | |
wget http://www.python.org/ftp/python/2.7.5/Python-2.7.5.tgz /tmp | |
tar -zxvf Python-2.7.5.tgz | |
cd Python-2.7.5 | |
mkdir $HERE/.python | |
./configure --prefix=$HERE/.python |
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http://s000.tinyupload.com/index.php?file_id=07575878755298799648 |
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# Simple sentiment analysis with lots and lots of problems. For answer to Quora thread: | |
# https://www.quora.com/Would-it-be-possible-for-an-undergraduate-like-me-to-create-a-sentiment-analysis-program | |
import sys | |
from collections import counter | |
with open(sys.argv[1]) as file_: | |
positive_text = file_.read() | |
with open(sys.argv[2]) as file_: | |
negative_text = file_.read() |
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# cython: infer_types=True | |
# cython: boundscheck=False | |
# cython: cdvision=True | |
# distutils: compile_options = ["-O2", "-fopenmp", "-march=native"] | |
# distutils: link_options = ["-fopenmp"] | |
cimport cython | |
from numpy import random as rng | |
import numpy as np | |
import numpy.random |
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from __future__ import unicode_literals | |
from __future__ import print_function | |
import plac | |
import spacy.en | |
def main(vectors_loc=None): | |
nlp = spacy.en.English() |
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