rtqichen

## Weight norm is now added to pytorch as a pre-hook, so use that instead :)

import torch
import torch.nn as nn
from torch.nn import Parameter
from functools import wraps

class WeightNorm(nn.Module):
    append_g = '_g'
    append_v = '_v'

craigvantonder

#!/bin/bash

# NB: First install nscd with sudo apt-get install nscd

# run this command to flush dns cache:
sudo /etc/init.d/dns-clean restart
# or use:
sudo /etc/init.d/networking force-reload
# Flush nscd dns cache:
sudo /etc/init.d/nscd restart

dssstr

def encrypt(plaintext, key):
    key_length = len(key)
    key_as_int = [ord(i) for i in key]
    plaintext_int = [ord(i) for i in plaintext]
    ciphertext = ''
    for i in range(len(plaintext_int)):
        value = (plaintext_int[i] + key_as_int[i % key_length]) % 26
        ciphertext += chr(value + 65)
    return ciphertext

nmayorov

from os import listdir
from os.path import isfile, join

import numpy as np
import pandas as pd


def compute_market_prices(prices):
    """Compute market prices according to the trading competition recipe.

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

shagunsodhani

The Batch Normalization paper describes a method to address the various issues related to training of Deep Neural Networks. It makes normalization a part of the architecture itself and reports significant improvements in terms of the number of iterations required to train the network.

Issues With Training Deep Neural Networks

Internal Covariate shift

Covariate shift refers to the change in the input distribution to a learning system. In the case of deep networks, the input to each layer is affected by parameters in all the input layers. So even small changes to the network get amplified down the network. This leads to change in the input distribution to internal layers of the deep network and is known as internal covariate shift.

It is well established that networks converge faster if the inputs have been whitened (ie zero mean, unit variances) and are uncorrelated and internal covariate shift leads to just the opposite.

ericjang

TensorFlow development environment on Windows using Docker

Here are instructions to set up TensorFlow dev environment on Docker if you are running Windows, and configure it so that you can access Jupyter Notebook from within the VM + edit files in your text editor of choice on your Windows machine.

Installation

First, install https://www.docker.com/docker-toolbox

Since this is Windows, creating the Docker group "docker" is not necessary.

karpathy

"""
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)

larryli

#!/bin/sh
# sudo ./install-shadowsocks-local-service.sh

cp shadowsocks-local.default /etc/default/shadowsocks-local
cp shadowsocks-local.init /etc/init.d/shadowsocks-local
chmod +x /etc/init.d/shadowsocks-local
ln -s ../init.d/shadowsocks-local /etc/rc0.d/K01shadowsocks-local
ln -s ../init.d/shadowsocks-local /etc/rc1.d/K01shadowsocks-local
ln -s ../init.d/shadowsocks-local /etc/rc2.d/K01shadowsocks-local
ln -s ../init.d/shadowsocks-local /etc/rc3.d/K01shadowsocks-local

alfredopalhares

So I was trying to do my duties as a good civilian by paying taxes of stuff you already own.

In this particular case it meant going to the website and try and generate a PDF document that would allow me to pay for said stuff. After 2 unsuccessful attempts to generate the PDF (got greeted by 500s), I finally got the PDF open on chromium (using the PDF preview) and trying to save, the browser crashed..

I then quickly reboot chromium and tried to generate the PDF again, only to find out that I can't, the website only allows you to generate the document and download once, this is a critical document used as prof and means to pay your taxes. It doesn't really make much sense that you only can download it once, but such is the way of life.

I've been suffering from this bug for quite a while, but it never affected me in this way.

The file wasn't on ~/Downloads, so I've tried browsing chrome://cache and after a while I found the PDF HTTP request, w