timvieira

function yellow { echo -e "\e[33m$@\e[0m"; }

# Wrapper around make, which covers building different project types, when an
# actual Makefile isn't present.
function make {
    if [[ -e Makefile ]]; then
        yellow "[make] found Makefile"
        /usr/bin/make $@
    else
        yellow "[make] No Makefile found"

timvieira

import numpy as np
import pylab as pl
from numpy import exp, cos, sin, sqrt
from arsenal.math import compare

def run_tests():
    tests = """
x**2
2*x

timvieira

"""
Cartoon version of Jiawei's optimization problem.

Created [2017-02-17 Fri]

"""
import numpy as np
from scipy.optimize import fmin_bfgs

import autograd

timvieira

"""
Memory-efficient backpropagation in an RNN.

Accompanies blog post:
http://timvieira.github.io/blog/post/2016/10/01/reversing-a-sequence-with-sublinear-space/
"""

import numpy as np
from arsenal.math.checkgrad import fdcheck

timvieira

# Efficient passive aggressive updates for multi-class classification
#
# Original article:
# "Column squishing for multiclass updates"
# https://nlpers.blogspot.com/2017/08/column-squishing-for-multiclass-updates.html


from __future__ import division
import numpy as np
import scipy.optimize

timvieira

"""
Memory-efficient backpropagation in an RNN.

Accompanies blog post:
http://timvieira.github.io/blog/post/2016/10/01/reversing-a-sequence-with-sublinear-space/
"""

import numpy as np
from arsenal.math.checkgrad import fdcheck

timvieira

# -*- coding: utf-8 -*-
"""
Reversing a singly-linked sequence defined by a function application in
sublinear space.

  s[t] = f(s[t-1]) where s[0] is given as input.

Code associated with blog post
"Reversing a sequence with sublinear space"
http://timvieira.github.io/blog/post/2016/10/01/reversing-a-sequence-with-sublinear-space/

timvieira

timvieira

# -*- coding: utf-8 -*-
"""
Backprop as the method of Lagrange multiplers (and even the implicit function
theorem).
"""
from __future__ import division
import numpy as np
from arsenal.alphabet import Alphabet
from arsenal.math.checkgrad import finite_difference

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