kastnerkyle

raise ValueError("DEPRECATED/FROZEN - see https://github.com/kastnerkyle/tools for the latest")

# License: BSD 3-clause
# Authors: Kyle Kastner
# Harvest, Cheaptrick, D4C, WORLD routines based on MATLAB code from M. Morise
# http://ml.cs.yamanashi.ac.jp/world/english/
# MGC code based on r9y9 (Ryuichi Yamamoto) MelGeneralizedCepstrums.jl
# Pieces also adapted from SPTK
from __future__ import division
import numpy as np

mikko

Sources:
===============

https://www.digitalocean.com/community/tutorials/initial-server-setup-with-ubuntu-14-04
https://www.digitalocean.com/community/tutorials/how-to-set-up-a-node-js-application-for-production-on-ubuntu-14-04
https://github.com/yyx990803/pod
https://www.namecheap.com/support/knowledgebase/article.aspx/1162/46/how-can-i-point-my-domain-name-to-my-home-servers-ip


Basic setup

tencia

import sys
import os
import numpy as np
import theano
import theano.tensor as T
import lasagne as nn
import time
from PIL import Image
from scipy.stats import norm
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams

kuanb

[{
    "lat": "40.79142677512476",
    "lng": "-73.93807411193848",
    "name": "1 Ave @ 110 St",
    "camera": "http://207.251.86.238/cctv261.jpg"
}, {
    "lat": "40.800426144169315",
    "lng": "-73.93155097961426",
    "name": "1 Ave @ 124 St",
    "camera": "http://207.251.86.238/cctv254.jpg"

bmcfee

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

apple2373

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

# this is a quick implementation of http://arxiv.org/abs/1508.06576
# BUT! This is kind of dirty. Lots of hard coding.　

import numpy as np
import math
from chainer import cuda, Function, FunctionSet, gradient_check, Variable, optimizers
import chainer.functions as Fu

karpathy

"""
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)

d02k01

#!/usr/bin/env python

import numpy as np
from PIL import Image

import chainer
from chainer import cuda
from chainer import optimizers
import chainer.functions as F
from chainer.links import caffe

ktnyt

import argparse
import numpy as np
from chainer import Variable, FunctionSet, optimizers, cuda
import chainer.functions  as F
import cv2
import random
import cPickle as pickle
import sys

class ConvolutionalAutoencoder(FunctionSet):