zhanghang1989

PyTorch to MXNet

This cheatsheet serves as a quick reference for PyTorch users who are interested in trying MXNet, and vice versa.

Pytorch is a deep learning framework provides imperative tensor manipulation and neural network training. MXNet provides similar imperative tensor manipulation through the ndarray package and neural network training through gluon. This cheatsheet maps functions one-by-one between these two frameworks.

Note that MXNet has a symbolic interface similar to Keras and Tensorflow that may provide better performance and portability. This cheatsheet mainly focus on MXNet's imperative interface.

Installation

miguelgrinberg

import asyncio
loop = asyncio.get_event_loop()

async def hello():
    await asyncio.sleep(3)
    print('Hello!')
    
if __name__ == '__main__':
    loop.run_until_complete(hello())
    

mivade

"""This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.

In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit

toolness

Adventures in Python Core Dumping

After watching Bryan Cantrill's presentation on [Running Aground: Debugging Docker in Production][aground] I got all excited (and strangely nostalgic) about the possibility of core-dumping server-side Python apps whenever they go awry. This would theoretically allow me to fully inspect the state of the program at the point it exploded, rather than relying solely on the information of a stack trace.

julienr

"""
Code to parse sklearn classification_report
"""
##
import sys
import collections
##
def parse_classification_report(clfreport):
    """
    Parse a sklearn classification report into a dict keyed by class name

bodil

How to put a GNU/Linux installation on your Chromebook

DISCLAIMER: This could all quite plausibly brick your Chromebook, and I take no responsibility for any damage you might inflict on it or yourself. Follow along at your own risk.

Most Chromebooks can run some flavour of GNU/Linux using the Chrubuntu method, running off the kernel that comes with ChromeOS. I found, however, that the ChromeOS kernel didn’t play well with recent X.org versions, and would refuse to recover from suspend, and not deal very well at all with having an external screen attached to it.

I also wanted to replace ChromeOS entirely with Arch on my Chromebook, because only 16 gigabytes of eMMC isn’t very convenient for dual booting. To accomplish this, I needed an external installation medium.

First of all, you’ll need to get your Chromebook into developer mode if you haven’t already. This is model specific, although for most recent models holding the Escape and Reload keys while booting should do the trick. If not, ask Google.

wylfen

#!/bin/bash

hartes_welches=/usr/bin/which

nein() {
    echo "Walter F. Tichy lacht über dein Versagen"
}

# $ tichyfizieren man Mann >> tichy.sh
# $ . tichy.sh