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# Aidan RockeAidanRocke

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Created Jun 14, 2019
View monotone_approx.jl
 using Distributions using Statistics function monotone_approx(N::Int64,n_trials::Int64,n::Int64) """ inputs: N: the range of U([-N,N]) n_trials: the number of times we generate random vectors n: the 'dimension' of the random vector
Last active Mar 27, 2019
A generative model based on the 2/3 power law
View crazy_paths.jl
 using Random function crazy_paths(N,delta_t) ddx, dx = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0) ddy, dy = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0) x, y = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0)
Last active Mar 11, 2019
View circuit_complexity.jl
 using LinearAlgebra using Random function circuit_complexity(N) radii = zeros(1,N); for i=1:N
Last active Mar 6, 2019
A test for local convexity
View local_convex_test.jl
 using LinearAlgebra using Random function local_convex_test(N) #srand(1234) sum = 0.0
Created Nov 29, 2018
 #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Nov 29 13:06:26 2018 @author: aidanrockea """ import numpy as np import tensorflow as tf import tensorflow_probability as tfp
Created Aug 20, 2018 Sorry, we cannot display this file.
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Created Jun 8, 2018 — forked from kingjr/google_translate_challenge.py
Find simplest google translate request that generate the maximum number of unique words
 from googletrans import Translator from itertools import product from pandas import DataFrame, read_csv import numpy as np import string import time import os # Get google translator object translator = Translator()
Last active May 9, 2018
Minimal example of accumulated gradients in TensorFlow 