The main concept is to assign and separate the responsibilities of each layer.
Resources:
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| ####### Shortcut Hotkeys ############# | |
| # open terminal | |
| alt - return : open -n /Applications/Alacritty.app | |
| # restart Yabi, SpaceBar, and SKHD | |
| alt + shift - r : \ | |
| launchctl kickstart -k "gui/${UID}/homebrew.mxcl.yabai"; \ | |
| skhd --reload | |
jairovadillo
/ CODE_ARCH.md
Last active
February 10, 2022 13:56
Coding architecture and best practices
joshbuchea
/ semantic-commit-messages.md
Last active
September 24, 2024 09:17
Semantic Commit Messages
alexhayes
/ pyenv+direnv on OSX.md
Last active
November 6, 2022 20:17
Awesomely easy virtualenvs on OSX using pyenv and direnv
##VGG19 model for Keras
This is the Keras model of the 19-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
MichalZalecki
/ wtf.js
Last active
December 24, 2023 18:25
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| /* VT100 terminal reset (<ESC>c) */ | |
| console.log('\033c'); | |
| /* numbers comparations */ | |
| > '2' == 2 | |
| true | |
| > '2' === 2 |
As configured in my dotfiles.
start new:
tmux
start new with session name:
baali
/ manual_nltk_bayes_classify.py
Created
December 15, 2011 07:12
— forked from lrvick/manual_nltk_bayes_classify.py
Manually train an NLTK NaiveBayes Classifier
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| from nltk.probability import ELEProbDist, FreqDist | |
| from nltk import NaiveBayesClassifier | |
| from collections import defaultdict | |
| train_samples = { | |
| 'I hate you and you are a bad person': 'neg', | |
| 'I love you and you are a good person': 'pos', | |
| 'I fail at everything and I want to kill people' : 'neg', | |
| 'I win at everything and I want to love people' : 'pos', | |
| 'sad are things are heppening. fml' : 'neg', |