HarshTrivedi

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

fearblackcat

Shadowsocks Proxy

Server-side setup

apt-get install python-pip
pip install shadowsocks

sudo ssserver -p 443 -k password -m aes-256-cfb --user nobody -d start

8enmann

# Download installers
mkdir ~/Downloads/nvidia
cd ~/Downloads/nvidia
wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
wget http://us.download.nvidia.com/XFree86/Linux-x86_64/384.59/NVIDIA-Linux-x86_64-384.59.run
sudo chmod +x NVIDIA-Linux-x86_64-384.59.run
sudo chmod +x cuda_8.0.61_375.26_linux-run
./cuda_8.0.61_375.26_linux-run -extract=~/Downloads/nvidia/
# Uninstall old stuff
sudo apt-get --purge remove nvidia-*

belst

Deploy Rocket using Letsencrypt and nginx

Information

This guide uses the domain your-domain.tld and its www. prefixed version. It starts the rocket application on 127.0.0.1:1337 and as the user www-data. The proxy listens on port 80 and 443 though.
If you need other values, update them accordingly in your nginx and systemd configs.

Prerequisites

You need to have nginx, certbot and rust installed.

kmark

/*
 * Copyright 2016 Kevin Mark
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

michael-erasmus

import os
import math
import re
import pandas as pd
from collections import Counter
from sklearn.datasets import fetch_20newsgroups

#get a subset of the dataset

categories = [

Tydus

HOWTO Cross compiling on Android

5W1H

What is NDK

NDK (Native Develop Toolkit) is a toolchain from Android official, originally for users who writes native C/C++ code as JNI library. It's not designed for compiling standalone programs (./a.out) and not compatible with automake/cmake etc.

What is Standalone Toolchain

"Standalone" refers to two meanings:

1. The program is standalone (has nothing connect to NDK, and don't need helper scripts to run it)
2. The toolchain is made for building standalone programs and libs, and which can used by automake etc.

(Optional) Why NDK is hard to use

By default, NDK uses android flavor directory structure when it's finding headers and libs, which is different from GNU flavor, so the compiler cannot find them. For Example:

akesling

import os
import struct
import numpy as np

"""
MNist loading helper for Python 2.7.

For Python 3.x, see https://gist.github.com/akesling/42393ccb868125071fdea77d98a0d2f0

Loosely inspired by http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

UniIsland

#!/usr/bin/env python

"""Simple HTTP Server With Upload.

This module builds on BaseHTTPServer by implementing the standard GET
and HEAD requests in a fairly straightforward manner.

"""