RodrigoCMoraes

-- all databases and their sizes
select * from pg_user;

-- Dump database on remote host to file
$ pg_dump -U username -h hostname databasename > dump.sql

-- Import dump into existing database
$ psql -d newdb -f dump.sql

RodrigoCMoraes

" remap escape key to jk
imap jk <Esc>

" when possible cursor is in center of screen
nnoremap j jzz
nnoremap k kzz
nnoremap `` ``zz

" general settings
set rnu et ts=4 sw=4 sts=4 ai cindent nowrap noswapfile cursorline splitbelow splitright

RodrigoCMoraes

'''Train a Siamese MLP on pairs of digits from the MNIST dataset.

It follows Hadsell-et-al.'06 [1] by computing the Euclidean distance on the
output of the shared network and by optimizing the contrastive loss (see paper
for mode details).

[1] "Dimensionality Reduction by Learning an Invariant Mapping"
    http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf

Run on GPU: THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python mnist_siamese_graph.py

RodrigoCMoraes

#!/bin/bash

# install CUDA Toolkit v9.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb)
CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb"
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda-9-0

RodrigoCMoraes

from tqdm import tqdm
import requests

chunk_size = 1024

url = "http://www.nervenet.org/pdf/python3handson.pdf"

r = requests.get(url, stream = True)

total_size = int(r.headers['content-length'])