thomwolf

# Copyright (c) 2019-present, Thomas Wolf.
# All rights reserved. This source code is licensed under the MIT-style license.
""" A very small and self-contained gist to train a GPT-2 transformer model on wikitext-103 """
import os
from collections import namedtuple
from tqdm import tqdm
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from ignite.engine import Engine, Events

skulumani

Vim configuration

You can spend lots of time getting vim setup to your liking, and probably never finish customizing. My suggestion is to start small and stick to the basics before going crazy with plugins. While I've included some plugins, the hope is that you can easily get started with LaTeX with a minimal of effort and/or Googling.

Here is a small section of some of the things I've figured out to have vim working for editing LaTeX files easily.

1. Copy the file below to a file vimrc and start vim vim -u vimrc to use the file. After all your customization if you are happy then save your configuration to ~/.vimrc.

2. You can then start vim and install the plugins using the command :PlugInstall

agramfort

"""
This module implements the Lowess function for nonparametric regression.

Functions:
lowess Fit a smooth nonparametric regression curve to a scatterplot.

For more information, see

William S. Cleveland: "Robust locally weighted regression and smoothing
scatterplots", Journal of the American Statistical Association, December 1979,