It's time someone compiled a list of nationalities to use within a web application. This gist attempts to make a first move at that.
I've also compiled a list of countries
It's time someone compiled a list of nationalities to use within a web application. This gist attempts to make a first move at that.
I've also compiled a list of countries
Prereq:
apt-get install zsh
apt-get install git-core
Getting zsh to work in ubuntu is weird, since sh
does not understand the source
command. So, you do this to install zsh
wget https://github.com/robbyrussell/oh-my-zsh/raw/master/tools/install.sh -O - | zsh
# Written by Senko Rasic <senko.rasic@goodcode.io> | |
# Released into Public Domain. Use it as you like. | |
from django.db import models | |
class SingletonModel(models.Model): | |
"""Singleton Django Model | |
Ensures there's always only one entry in the database, and can fix the |
var redis = require("redis"), | |
client = redis.createClient(), | |
exitProcessor = false, | |
queueNext = function() { | |
process.nextTick(function() { | |
// Messages are pushed with RPUSH, making this a FIFO queue | |
client.blpop('queue', 1, queueFn); | |
}) | |
}, | |
queueFn = function(err, msg) { |
""" | |
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) |
__author__ = 'ssbushi' | |
# Import the toolkit and tags | |
import nltk | |
from nltk.corpus import treebank | |
# Train data - pretagged | |
train_data = treebank.tagged_sents()[:3000] | |
print train_data[0] |
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |
import os | |
import io | |
from PIL import Image | |
from django.core.urlresolvers import reverse | |
from django.conf import settings | |
from rest_framework import status | |
from rest_framework.test import APITestCase |
""" | |
Sometimes in your Django model you want to raise a ``ValidationError`` in the ``save`` method, for | |
some reason. | |
This exception is not managed by Django Rest Framework because it occurs after its validation | |
process. So at the end, you'll have a 500. | |
Correcting this is as simple as overriding the exception handler, by converting the Django | |
``ValidationError`` to a DRF one. | |
""" | |
from django.core.exceptions import ValidationError as DjangoValidationError |
This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.
ResNet Paper:
Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385