Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

# encoding=utf-8 | |
# Project: learn-pytorch | |
# Author: xingjunjie github: @gavinxing | |
# Create Time: 29/07/2017 11:58 AM on PyCharm | |
# Basic template from http://pytorch.org/tutorials/beginner/nlp/word_embeddings_tutorial.html | |
import torch | |
import torch.nn as nn | |
import torch.autograd as autograd | |
import torch.optim as optim |
It all begins with Homebrew. This setup uses Homebrew for almost everything, including things your Mac ships with, like Python.
Managing everything in Homebrew lets us use the most up-to-date packages available, and means we are not subject to any customizations, however small, Apple makes to their packaged software.