(C-x means ctrl+x, M-x means alt+x)
The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf
:
import numba | |
@numba.jit(target='cpu', nopython=True) | |
def fast_cosine(u, v): | |
m = u.shape[0] | |
udotv = 0 | |
u_norm = 0 | |
v_norm = 0 | |
for i in range(m): | |
if (np.isnan(u[i])) or (np.isnan(v[i])): |
These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.
$ uname -r
import logging | |
import os | |
from multiprocessing.pool import Pool as OrigPool | |
from coverage import Coverage | |
from multiprocessing.context import Process, DefaultContext, _concrete_contexts | |
logger = logging.getLogger(__name__) | |
A little recursive function that return the list of absolute path of all the file in a folder.
from os import listdir
from os.path import isfile
def get_file_in_folder(path="."):
if isfile(path):
return path
There are 2 main Tex Distribution for windows The main difference is that TexLive has tlmgr that allows you to make a granular installation downloading only the package that you'll need. While MikTex has tons of packagee per installed but it works too.
TexLive for windows Click here to download it (Warning: The full installation of TexLive is big and it will take a while)
import tensorflow as tf | |
def mrr_metric(labels, predictions, weights=None, | |
metrics_collections=None, | |
updates_collections=None, | |
name=None): | |
with tf.name_scope(name, 'mrr_metric', [predictions, labels, weights]) as scope: | |
#!/usr/bin/env python3.6.2 | |
# -*- coding: utf-8 -*- | |
# run script from command line via python3 keyword_search_github_repositories.py | |
import click | |
import datetime | |
import time | |
from github import Github |