View conditional_dist.ipynb
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View normal_approximation
""" | |
Created on Tue Mar 13 19:17:39 2018 | |
@author: aidanrocke | |
""" | |
import tensorflow as tf | |
import numpy as np | |
View gitbook_on_github
## taken from: http://sangsoonam.github.io/2016/08/02/publish-gitbook-to-your-github-pages.html | |
# install the plugins and build the static site | |
gitbook install && gitbook build | |
# checkout to the gh-pages branch | |
git checkout gh-pages | |
# pull the latest updates | |
git pull origin gh-pages --rebase |
View accumulated_gradients.ipynb
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View google_translate_challenge.py
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() |
View fixed_accumulated_gradients.ipynb
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View computing_gradients.tf
#!/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 |
View local_convex_test.jl
using LinearAlgebra | |
using Random | |
function local_convex_test(N) | |
#srand(1234) | |
sum = 0.0 |
View circuit_complexity.jl
using LinearAlgebra | |
using Random | |
function circuit_complexity(N) | |
radii = zeros(1,N); | |
for i=1:N | |
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) |
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