This guide is has moved to https://epicserve-docs.readthedocs.org/en/latest/django/ubuntu-server-django-guide.html.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#! /usr/bin/env python | |
""" | |
Author: Jeremy M. Stober | |
Program: SOFTMAX.PY | |
Date: Wednesday, February 29 2012 | |
Description: Simple softmax function. | |
""" | |
import numpy as np | |
npa = np.array |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/bin/bash | |
# generate new personal ed25519 ssh keys | |
ssh-keygen -o -a 100 -t ed25519 -f ~/.ssh/id_ed25519 -C "rob thijssen <rthijssen@gmail.com>" | |
ssh-keygen -o -a 100 -t ed25519 -f ~/.ssh/id_robtn -C "rob thijssen <rob@rob.tn>" | |
# generate new host cert authority (host_ca) ed25519 ssh key | |
# used for signing host keys and creating host certs | |
ssh-keygen -t ed25519 -f manta_host_ca -C manta.network |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from math import sqrt | |
def put_kernels_on_grid (kernel, pad = 1): | |
'''Visualize conv. filters as an image (mostly for the 1st layer). | |
Arranges filters into a grid, with some paddings between adjacent filters. | |
Args: | |
kernel: tensor of shape [Y, X, NumChannels, NumKernels] | |
pad: number of black pixels around each filter (between them) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# | |
# mnist_cnn_bn.py date. 5/21/2016 | |
# date. 6/2/2017 check TF 1.1 compatibility | |
# | |
from __future__ import absolute_import | |
from __future__ import division | |
from __future__ import print_function | |
import os |
- Introduces a new global log-bilinear regression model which combines the benefits of both global matrix factorization and local context window methods.
- Decompose large matrices into low-rank approximations.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from __future__ import print_function | |
import requests | |
import json | |
import cv2 | |
addr = 'http://localhost:5000' | |
test_url = addr + '/api/test' | |
# prepare headers for http request | |
content_type = 'image/jpeg' |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import tensorflow as tf | |
import numpy as np | |
corpus_raw = 'He is the king . The king is royal . She is the royal queen ' | |
# convert to lower case | |
corpus_raw = corpus_raw.lower() | |
words = [] | |
for word in corpus_raw.split(): |
OlderNewer