JonathanRaiman

# coding: utf-8
#
# @author Jonathan Raiman
# @date 9th October 2014
#
# Messing around with Stanford's GloVe words
# Download them [here](http://www-nlp.stanford.edu/projects/glove/)

import gzip, numpy as np, io

JonathanRaiman

import theano, theano.tensor as T, numpy as np

def _outer_substract(x, y):
    x = x.dimshuffle(0, 1, 'x')
    x = T.addbroadcast(x, 2)
    return (x - y.T).T
def _gaussian_kernel(x, y, beta = 0.1):
    K = _outer_substract(x,y)
    return T.exp( -beta * K.norm(L=2,axis=1))
x = T.matrix()

JonathanRaiman

%%cython

import cython
import numpy as np
cimport numpy as np

from libc.math cimport exp
from libc.string cimport memset

from cpython cimport PyCapsule_GetPointer # PyCObject_AsVoidPtr

JonathanRaiman

%%cython
import cython
from cython cimport view
import numpy as np
cimport numpy as np

from cpython cimport PyCapsule_GetPointer # PyCObject_AsVoidPtr
from scipy.linalg.blas import fblas

REAL = np.float32

JonathanRaiman

# How to get gemm to work in Cython

# 1. suppose your data is Fortran contiguous (really ?)
# then blas supports this out of the box:

%%cython

cimport numpy as np
import numpy as np
from cpython cimport PyCapsule_GetPointer # PyCObject_AsVoidPtr

JonathanRaiman

from libc.stdlib cimport malloc, free, realloc

cdef struct Chair:
    int size

cdef class Bench:
    cdef Chair* chairs
    cdef readonly int num_chairs
    
    property chairs:

JonathanRaiman

import sqlite3
import pickle

protocol = 0
sqlite3.register_converter("pickle", pickle.loads)
sqlite3.register_adapter(list, pickle.dumps)
sqlite3.register_adapter(set, pickle.dumps)

JonathanRaiman

import matplotlib.pyplot as plt
import theano, theano.tensor as T, numpy as np
import theano_lstm
import os
from collections import Counter

to_softmax = lambda x: T.nnet.softmax(x)[0] if x.ndim == 1 else T.nnet.softmax(x.T).T
class LatticeModel(object):
    def __init__(self,
                 word_size,

JonathanRaiman

#!/bin/bash

# stop script on error and print it
set -e
# inform me of undefined variables
set -u
# handle cascading failures well
set -o pipefail

# install homebrew

JonathanRaiman

#ifndef DALI_MATH_MSHADOW_EIGEN_DOT_H
#define DALI_MATH_MSHADOW_EIGEN_DOT_H
#if MSHADOW_USE_EIGEN_DOT
#include <Eigen/Eigen>
#include <mshadow/tensor.h>
#include <cblas.h>

// Eigen Backend for Dot-Product in Mshadow
// Causes Adagrad to be slower.