nyanshell

(use-package rime
  :custom
  (rime-librime-root "/home/flandre/.emacs.d/librime/build")
  ;;              (rime-librime-root (expand-file-name "librime/build" user-emacs-directory))
  (default-input-method "rime")
  :bind
  (:map rime-mode-map
   ("C-`" . 'rime-send-keybinding)))
  ;; :config
  ;; (define-key rime-active-mode-map (kbd "C-2") 'rime-s2t)

nyanshell

import os

from requests_oauthlib import OAuth1Session

API_KEY = os.getenv('API_KEY')
API_SECRET = os.getenv('API_SECRET')

def keep_alive():
    oauth = OAuth1Session(client_key, client_secret=client_secret)
    user_info = oauth.get('https://api.twitter.com/1.1/users/show.json', params={'screen_name': 'twitter'})

nyanshell

#!/bin/bash
# location: /usr/local/share/login_notify.sh
# /etc/pam.d/sshd
# add optional      pam_exec.so /usr/local/share/login_notify.sh
function post_to_slack () {
        # format message as a code block ```${msg}```
        SLACK_MESSAGE="\`\`\`$1\`\`\`"

new ssh-login channel
https://hooks.slack.com/services/<channel-url>

nyanshell

Keybase proof

I hereby claim:

• I am nyanshell on github.
• I am geshtalt (https://keybase.io/geshtalt) on keybase.
• I have a public key whose fingerprint is 1D8E 5678 D278 DC60 2401 0E05 8197 1AC8 6B2A A7A1

To claim this, I am signing this object:

nyanshell

environment

NVIDIA

i7-6700k
ASUS GTX 1080 8G
CUDA 9 CUDNN 7
python 3.6.6
tensorflow 1.12.0

nyanshell

# -*- mode: ruby -*-
# vi: set ft=ruby :

Vagrant.configure("2") do |config|

  config.vm.define "test" do |config|
    config.vm.hostname = "test"
    config.vm.box = "bento/ubuntu-16.04"
    config.vm.network "private_network", type: "dhcp"
    config.vm.provider "virtualbox" do |vb|

nyanshell

A rewrite of http://neuralnetworksanddeeplearning.com/chap1.html#implementing_our_network_to_classify_digits

MNIST data http://yann.lecun.com/exdb/mnist/

IDX file loading http://g.sweyla.com/blog/2012/mnist-numpy/

Load shaped data from scratch using load_mnist() ( PY3 compatible ) or from a pickle file ( PY2 only ) using load_data_wrapper()

nyanshell

set nocompatible              " be iMproved, required
filetype off                  " required

" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()
" " alternatively, pass a path where Vundle should install plugins
" "call vundle#begin('~/some/path/here')
"
" " let Vundle manage Vundle, required

nyanshell

[bumpversion]
files = setup.py corpus/__init__.py
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(?P<release>.*)
serialize = 
        {major}.{minor}.{patch}{release}
        {major}.{minor}.{patch}
commit = True
tag = True
current_version = 0.3.1a

nyanshell

from __future__ import division

import numpy as np
from bokeh.plotting import *

from bokeh.resources import CDN
from bokeh.embed import components

from bottle import run, template, route, jinja2_view