Shortcut | Description |
---|---|
ranger |
Start Ranger |
Q |
Quit Ranger |
R |
Reload current directory |
? |
Ranger Manpages / Shortcuts |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/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) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/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) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
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 | |
""" |
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:
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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() |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#... | |
function gitzip() { | |
git archive -o $@.zip HEAD | |
} | |
#... gitzip ZIPPED_FILE_NAME |
As configured in my dotfiles.
start new:
tmux
start new with session name: