As configured in my dotfiles.
start new:
tmux
start new with session name:
#!/usr/bin/env python | |
# coding: utf-8 | |
class AttrDict(object): | |
def __init__(self, init=None): | |
if init is not None: | |
self.__dict__.update(init) | |
def __getitem__(self, key): | |
return self.__dict__[key] |
As configured in my dotfiles.
start new:
tmux
start new with session name:
import numpy as np | |
from scipy import linalg | |
from sklearn.utils import array2d, as_float_array | |
from sklearn.base import TransformerMixin, BaseEstimator | |
class ZCA(BaseEstimator, TransformerMixin): | |
def __init__(self, regularization=10**-5, copy=False): | |
self.regularization = regularization |
#!/usr/bin/env python | |
''' | |
Query on GoogleImageSearch and install resulted images by scraping. | |
To use this script install mechanize and BeautifulSoup packages as | |
easy_install mechanize | |
easy_install Beautiful |
''' | |
Written by: | |
Eren Golge - [email protected] | |
''' | |
import json | |
import pdb | |
import urllib2 | |
import mechanize | |
import cookielib |
#!/bin/bash | |
from bs4 import BeautifulSoup | |
import requests | |
import urllib2 | |
import os | |
import re, urlparse | |
import time | |
import pdb | |
from interruptingcow import timeout |
layers { | |
name: "conv1A" | |
type: CONVOLUTION | |
bottom: "data" | |
top: "conv1A" | |
blobs_lr: 1 | |
blobs_lr: 2 | |
weight_decay: 1 | |
weight_decay: 0 | |
convolution_param { |
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