vovoma

vovoma / cluster

Last active August 29, 2015 14:17 — forked from jdeng/cluster

	// generate [0..n-1]
	auto seq = [](size_t n) -> std::vector<size_t> {
	std::vector<size_t> v(n);
	for (size_t i=0; i<n; ++i) v[i] = i;
	return v;
	};
	auto index = seq(n);

	// n * n distance matrix
	std::vector<D> dists(n * n);

vovoma / world_pop.py

Last active August 29, 2015 14:16 — forked from jradavenport/world_pop.py

	# Resulting video from this code can be seen here:
	# http://www.ifweassume.com/2015/02/world-population-density.html
	# or
	# https://vimeo.com/120308257

	import numpy as np
	import matplotlib.pyplot as plt
	from mpl_toolkits.basemap import Basemap
	import os

vovoma / lstm-lm.py

Last active August 29, 2015 14:11 — forked from neubig/lstm-lm.py

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

	# This is a simplified implementation of the LSTM language model (by Graham Neubig)
	#
	# LSTM Neural Networks for Language Modeling
	# Martin Sundermeyer, Ralf Schlüter, Hermann Ney
	# InterSpeech 2012
	#
	# The structure of the model is extremely simple. At every time step we