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epoch = 0
def next_batch(images, labels, start, batch_size):
global epoch
end = start + batch_size
if end > len(images):
# After each epoch we update this
epoch += 1
start = 0
#!/bin/sh
if nvidia-docker run -d -it -p $JUPYTERPORT:8888 --name $USER-jupyter_gpu -v /data/users/$USER/notebooks:/notebooks \
thejevans/jupyter-tensorflow-keras-opencv-gpu /bin/bash -c "useradd -u $UID $USER; jupyter notebook --allow-root" 2> /dev/null
then
echo "booting into container..."
else
docker start $USER-jupyter_gpu > /dev/null
echo "starting container..."
fi
echo "your port is $JUPYTERPORT"
@thejevans
thejevans / myidea.py
Last active September 17, 2018 02:15
letters_guessed = 'blah'
secret_word = 'hello'
output = ''
for a in secret_word:
if a in letters_guessed:
output += a
else:
output += '_'
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Emily Blick
@collaborators:
@hours_spent:
"""
import random
import numpy as np
//// init
//int pin1A = 11;
//int pin2A = 10;
//int duty = 25;
//
//void setup() {
// // put your setup code here, to run once:
// Serial.begin(9600);
// pinMode(pin1A, OUTPUT);
// pinMode(pin2A, OUTPUT);
from sklearn.base import BaseEstimator, ClassifierMixin
class DiscreteNB(BaseEstimator, ClassifierMixin):
def __init__(self):
self.MLE_array = np.empty()
BaseEstimator.__init__(self)
ClassifierMixin.__init__(self)
def get_params(self, deep=True):
return BaseEstimator.get_params(self, deep=True)
Material Short Long Bandpass
ZnS 83.39 97.33
Ge 48.25 48.6
ZnS 756.31 761.47
Ge 403.51 412.85
ZnS 710.33 720.06
Ge 377.93 382.28
ZnS 696.05 705.03
Ge 370.17 370.42
ZnS 696.91 709.26
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@thejevans
thejevans / output.txt
Created September 30, 2020 21:41
MPMP15: Prime Pairs Naive Solution
(1, 2, 3, 4, 7, 6, 5, 8, 9): [3, 5, 7, 11, 13, 11, 13, 17]
(1, 2, 3, 4, 9, 8, 5, 6, 7): [3, 5, 7, 13, 17, 13, 11, 13]
(1, 2, 3, 8, 5, 6, 7, 4, 9): [3, 5, 11, 13, 11, 13, 11, 13]
(1, 2, 3, 8, 9, 4, 7, 6, 5): [3, 5, 11, 17, 13, 11, 13, 11]
(1, 2, 5, 6, 7, 4, 3, 8, 9): [3, 7, 11, 13, 11, 7, 11, 17]
(1, 2, 5, 6, 7, 4, 9, 8, 3): [3, 7, 11, 13, 11, 13, 17, 11]
(1, 2, 9, 4, 3, 8, 5, 6, 7): [3, 11, 13, 7, 11, 13, 11, 13]
(1, 2, 9, 4, 7, 6, 5, 8, 3): [3, 11, 13, 11, 13, 11, 13, 11]
(1, 2, 9, 8, 3, 4, 7, 6, 5): [3, 11, 17, 11, 7, 11, 13, 11]
(1, 2, 9, 8, 5, 6, 7, 4, 3): [3, 11, 17, 13, 11, 13, 11, 7]
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