As configured in my dotfiles.
start new:
tmux
start new with session name:
As configured in my dotfiles.
start new:
tmux
start new with session name:
#... | |
function gitzip() { | |
git archive -o $@.zip HEAD | |
} | |
#... gitzip ZIPPED_FILE_NAME |
document.querySelector('#readme').setAttribute('style', 'position: absolute; top: 0; left: 0; right: 0; bottom: 0; z-index: 100; background-color: white') | |
document.querySelector('body').appendChild(document.querySelector('#readme')) | |
window.print() |
Sometimes you need to edit a file on a remote server, but using vim/emacs is not very practical, due to lag and speed of screen refresh.
TextMate users have the classic rmate, but it was implemented in Ruby, which may not be available on the remote server.
A better option is to use this version of rmate, implemented in pure Bash. It's a single file, self-contained, and with no external dependencies.
Step by step:
""" | |
My proposal to the exercise in the tutorial about Deep Learning for NLP with Pytorch | |
This is one is about Word Embeddings that encodes Lexical Semantics. | |
Continuous Bag-of-Words model (CBOW) is model that tries to predict a word given the context | |
of a few words before and after the target. | |
.. _Source: | |
http://pytorch.org/tutorials/beginner/nlp/word_embeddings_tutorial.html#exercise-computing-word-embeddings-continuous-bag-of-words | |
""" |
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) |
#!/bin/bash | |
## | |
## Tested on: Ubuntu 18.04 & ECW 5.4 & GDAL 2.3.1 | |
## | |
## Download the ERDAS ECW JP2 SDK v5.4 Linux | |
## https://download.hexagongeospatial.com/downloads/ecw/erdas-ecw-jp2-sdk-v5-4-linux | |
## Download GDAL v2.3 Source (ex. 2.3.1) |
#!/bin/bash | |
## | |
## Tested on: Ubuntu 18.04 & ECW 5.4 & GDAL 2.3.1 | |
## | |
## Download the ERDAS ECW JP2 SDK v5.4 Linux | |
## https://download.hexagongeospatial.com/downloads/ecw/erdas-ecw-jp2-sdk-v5-4-linux | |
## Download GDAL v2.3 Source (ex. 2.3.1) |