$ cd /path/to/Dockerfile
$ sudo docker build .
View running processes
""" | |
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) |
{ | |
"emojis": [ | |
{"emoji": "👩👩👧👧", "name": "family: woman, woman, girl, girl", "shortname": ":woman_woman_girl_girl:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F467", "html": "👩‍👩‍👧‍👧", "category": "People & Body (family)", "order": ""}, | |
{"emoji": "👩👩👧👦", "name": "family: woman, woman, girl, boy", "shortname": ":woman_woman_girl_boy:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F466", "html": "👩‍👩‍👧‍👦", "category": "People & Body (family)", "order": ""}, | |
{"emoji": "👩👩👦👦", "name": "family: woman, woman, boy, boy", "shortname": ":woman_woman_boy_boy:", "unicode": "1F469 200D 1F469 200D 1F466 200D 1F466", "html": "👩‍👩‍👦‍👦", "category": "People & Body (family)", "order": ""}, | |
{"emoji": "👨👩👧👧", "name": "family: man, woman, girl, girl", "shortname": ":man_woman_girl_girl:", "unicode": "1F468 200D 1F469 200D 1F467 200D 1F467", "html": "👨‍👩&z |
Map | Action |
---|---|
<F1> | Causes Netrw to issue help |
<cr> | Netrw will enter the directory or read the file |
<del> | Netrw will attempt to remove the file/directory |
- | Makes Netrw go up one directory |
a | Toggles between normal display, hiding (suppress display of files matching g:netrw_list_hide) showing (display only files which match g:netrw_list_hide) |
c | Make browsing directory the current directory |
C | Setting the editing window |
d | Make a directory |
""" Example using GenSim's LDA and sklearn. """ | |
import numpy as np | |
from gensim import matutils | |
from gensim.models.ldamodel import LdaModel | |
from sklearn import linear_model | |
from sklearn.datasets import fetch_20newsgroups | |
from sklearn.feature_extraction.text import CountVectorizer |
Large Object Motions: | |
( | |
) | |
{ | |
} | |
[[ | |
[] | |
][ | |
]] | |
[m |
import networkx as nx | |
import numpy as np | |
import itertools | |
## We define each S* motif as a directed graph in networkx | |
motifs = { | |
'S1': nx.DiGraph([(1,2),(2,3)]), | |
'S2': nx.DiGraph([(1,2),(1,3),(2,3)]), | |
'S3': nx.DiGraph([(1,2),(2,3),(3,1)]), | |
'S4': nx.DiGraph([(1,2),(3,2)]), |
# Ask for the user password | |
# Script only works if sudo caches the password for a few minutes | |
sudo true | |
# Install kernel extra's to enable docker aufs support | |
# sudo apt-get -y install linux-image-extra-$(uname -r) | |
# Add Docker PPA and install latest version | |
# sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 36A1D7869245C8950F966E92D8576A8BA88D21E9 | |
# sudo sh -c "echo deb https://get.docker.io/ubuntu docker main > /etc/apt/sources.list.d/docker.list" |
import bisect | |
class NFA(object): | |
EPSILON = object() | |
ANY = object() | |
def __init__(self, start_state): | |
self.transitions = {} | |
self.final_states = set() | |
self._start_state = start_state |