joninvski

import pdb
"""
The Bellman-Ford algorithm

Graph API:

    iter(graph) gives all nodes
    iter(graph[u]) gives neighbours of u
    graph[u][v] gives weight of edge (u, v)
"""

agramfort

"""
Implementation of pairwise ranking using scikit-learn LinearSVC

Reference: "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
    T. Graepel, K. Obermayer.

Authors: Fabian Pedregosa <fabian@fseoane.net>
         Alexandre Gramfort <alexandre.gramfort@inria.fr>
"""

mrocklin

import theano
import theano.sandbox.linalg as linalg

mu = theano.tensor.matrix('mu')
Sigma = theano.tensor.matrix('Sigma')
H = theano.tensor.matrix('H')
R = theano.tensor.matrix('R')
data = theano.tensor.matrix('data')

dot = theano.tensor.dot

elsonidoq

from math import log
log2= lambda x:log(x,2)
from scipy import histogram, digitize, stats, mean, std
from collections import defaultdict

def mutual_information(x,y):
    return entropy(y) - conditional_entropy(x,y)

def conditional_entropy(x, y):
    """

minrk

#!/usr/bin/env python
"""strip outputs from an IPython Notebook

Opens a notebook, strips its output, and writes the outputless version to the original file.

Useful mainly as a git filter or pre-commit hook for users who don't want to track output in VCS.

This does mostly the same thing as the `Clear All Output` command in the notebook UI.

LICENSE: Public Domain

GaelVaroquaux

'''
Non-parametric computation of entropy and mutual-information

Adapted by G Varoquaux for code created by R Brette, itself
from several papers (see in the code).

This code is maintained at https://github.com/mutualinfo/mutual_info 
Please download the latest code there, to have improvements and 
bug fixes.

paulirish

/* bling.js */

window.$ = document.querySelectorAll.bind(document);

Node.prototype.on = window.on = function (name, fn) {
  this.addEventListener(name, fn);
}

NodeList.prototype.__proto__ = Array.prototype;

karpathy

"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:
  
  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

Vestride

Encoding Video

Installing

Install FFmpeg with homebrew. You'll need to install it with a couple flags for webm and the AAC audio codec.

brew install ffmpeg --with-libvpx --with-libvorbis --with-fdk-aac --with-opus

neosatrapahereje

from collections import OrderedDict
import numpy as np
import theano
import theano.tensor as T
from theano.ifelse import ifelse


def cg(loss, params, x0=None, max_iters=100, precondition=None, tol=1e-3,
       conv_crit='cg'):
    """(Preconditioned) Conjugate Gradient (CG) updates