Sometimes you want to have a subdirectory on the master branch be the root directory of a repository’s gh-pages branch. This is useful for things like sites developed with Yeoman, or if you have a Jekyll site contained in the master branch alongside the rest of your code.
For the sake of this example, let’s pretend the subfolder containing your site is named dist.
Remove the dist directory from the project’s .gitignore file (it’s ignored by default by Yeoman).
| 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) |
Execute in the following order:
docker run -d -p 6379:6379 redispython celery_app.py
| MIT License | |
| Copyright (c) 2018 Noel Bundick | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: |
| """ | |
| sort-of minimal end-to-end example of handling input sequences (sentences) of variable length in pytorch | |
| the sequences are considered to be sentences of words, meaning we then want to use embeddings and an RNN | |
| using pytorch stuff for basically everything in the pipeline of: | |
| dataset -> data_loader -> padding -> embedding -> packing -> lstm -> unpacking (~padding) | |
| based mostly on: https://github.com/HarshTrivedi/packing-unpacking-pytorch-minimal-tutorial | |
| pytorch version 1.4.0 | |
| gist url: https://gist.github.com/MikulasZelinka/9fce4ed47ae74fca454e88a39f8d911a | |
| """ |
| // ==UserScript== | |
| // @name Auto best quality for videos in Google Photos | |
| // @namespace mikulas.zelinka.dev | |
| // @version 0.1 | |
| // @description Tampermonkey script that selects the best quality for all embedded youtube videos when the page/player is loaded (at least those that are served with the same URL as those in Google Photos). | |
| // @author Mikuláš Zelinka | |
| // @match https://youtube.googleapis.com/embed/* | |
| // @grant none | |
| // ==/UserScript== |
| # Title: Gfycat JS tags for Jekyll | |
| # Author: Harry Denholm, ishani.org | |
| # Description: plug the custom gfycat image tags into a page | |
| # | |
| # updated 02/02/2016 | |
| # | |
| # Syntax {% gfycat gfy_name %} | |
| # | |
| # Example: | |
| # {% gfycat LateLikelyDassierat %} |