felipemoraes

Useful materials:

• Machine Learning cheatsheet: https://stanford.edu/~shervine/teaching/cs-229.html
• Pattern Recognition and Machine Learning Book

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

nebil

Lenguajes del tercer milenio

Aquí dejaré una tabla con lenguajes de programación que aparecieron después del año 2001.
Durante los últimos años, todos ellos han alcanzado un grado significativo de notoriedad.
Podría ser interesante analizar qué novedades ofrecen con respecto a sus antecesores.

Nombre	Año de aparición	GitHub	Sitio web oficial
[Ceylon]	2011	[@eclipse/ceylon]	https://ceylon-lang.org

MatthieuBizien

# coding: utf-8

import logging
import re
from collections import Counter

import numpy as np
import torch
from sklearn.datasets import fetch_20newsgroups
from torch.autograd import Variable

thomas-a-neil

from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator

from datetime import datetime, timedelta


# default arguments for each task
default_args = {
    'owner': 'nthomas',

jseabold

import os
import calendar

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import FixedLocator, FixedFormatter
import pandas as pd
import seaborn as sns

to_colors = lambda x : x/255.

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

dashed

/*! normalize.css v2.1.3 | MIT License | git.io/normalize */

/* ==========================================================================
   HTML5 display definitions
   ========================================================================== */

/**
 * Correct `block` display not defined in IE 8/9.
 */

killercup

/*
 * I add this to html files generated with pandoc.
 */

html {
  font-size: 100%;
  overflow-y: scroll;
  -webkit-text-size-adjust: 100%;
  -ms-text-size-adjust: 100%;
}

cosimo

#!/bin/bash
#
# Example of how to parse short/long options with 'getopt'
#

OPTS=`getopt -o vhns: --long verbose,dry-run,help,stack-size: -n 'parse-options' -- "$@"`

if [ $? != 0 ] ; then echo "Failed parsing options." >&2 ; exit 1 ; fi

echo "$OPTS"